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Last updated on August 23, 2026. This conference program is tentative and subject to change
IFAC WC 2026 Keyword Index
A
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| A | Top |
| Active learning and experiment design | FrA09.1, MoA06.5, MoB08.1, MoB08.2, MoB08.3, MoC08.1, MoC08.2, ThA02.1, ThA02.12, ThB03.1, ThB03.2, ThB03.3, ThB03.22, ThC08.3, ThC38-01.1, ThC38-01.12, ThC38-03.1, ThC38-03.2, ThC38-03.3, ThC38-03.22, WeB06.4 |
| Adaptive and adaptable automation | FrA08.5, MoB04.8, MoB04.15, MoB04.23, MoC38-07.8, MoC38-07.15, MoC38-07.23, ThA35.2, ThC07.3, WeA03.3, WeB32.4, WeC38-02.3 |
| Adaptive and robust control of automotive systems | FrB02.3, MoA04.18, MoA19.2, MoB26.1, MoC38-06.18, ThB05.1, ThB17.1, ThB17.2, ThB17.4, ThB17.5, ThB29.4, ThB30.5, ThB31.1, ThB32.6, ThC31.5, TuB03.1, TuB03.2, TuB03.19, TuB26.5, TuC02.1, TuC02.2, TuC02.4, TuC38-06.1, TuC38-06.2, TuC38-06.19, WeB26.1, WeB26.4, WeB26.6, WeC02.1, WeC16.1, WeC26.3 |
| Adaptive control design | FrA02.1, FrA02.3, FrA02.4, FrA13.3, FrB02.4, FrB13.1, FrB13.5, MoA14.1, MoA14.2, MoA15.6, MoB01.1, MoB01.2, MoB19.1, MoB19.2, MoB19.3, MoB19.4, MoC13.5, MoC17.6, MoC37.4, ThA14.2, ThA15.6, ThA17.4, ThA29.1, ThB14.3, ThB14.4, ThC13.1, ThM00.1, TuA01.1, TuA01.2, TuA01.3, TuA01.4, TuA04.12, TuA04.14, TuA13.4, TuA15.5, TuA16.1, TuB02.1, TuB02.2, TuB02.3, TuB02.4, TuB02.9, TuB04.1, TuB04.8, TuB16.1, TuB16.2, TuB16.3, TuB16.4, TuB16.5, TuB16.6, TuC13.2, TuC16.1, TuC16.2, TuC16.3, TuC16.4, TuC16.5, TuC16.6, TuC38-03.1, TuC38-03.2, TuC38-03.3, TuC38-03.4, TuC38-03.9, TuC38-04.12, TuC38-04.14, TuC38-05.1, TuC38-05.8, WeA02.4, WeA04.14, WeA13.1, WeA13.2, WeA13.3, WeA13.6, WeB02.4, WeB02.12, WeB02.22, WeB14.5, WeB15.1, WeB16.6, WeB17.3, WeC37.3, WeC38-03.4, WeC38-04.4, WeC38-04.12, WeC38-04.22, WeC38-06.14 |
| Adaptive control of multi-agent systems | MoA01.4, MoC07.2, MoC38-01.4, ThA03.1, ThA10.3, ThB02.3, ThC07.4, ThC38-02.3, ThC38-04.1, TuA08.1, TuB05.1 |
| Adaptive dynamic programming for control | MoB11.4 |
| Adaptive gain scheduling autotuning control and switching control | FrB10.4, TuA06.5, WeB03.17, WeC38-01.17 |
| Adaptive observer design | FrA06.1, FrA06.2, FrA06.3, FrA06.4, FrA08.2, MoA06.6, MoB06.1, MoC07.1, MoC09.1, ThA02.8, ThA02.13, ThA03.2, ThA08.4, ThB03.23, ThC38-01.8, ThC38-01.13, ThC38-03.23, ThC38-04.2, TuC05.3, TuC37.1 |
| Adding games to control education to encourage participation | FrB31.3, ThA37.2, ThA37.5, ThB37.2, WeC38-07.4, WeC38-07.7, WeC38-07.8, WeC38-07.11 |
| Advanced manufacturing and remanufacturing technologies | ThA18.5, TuA02.8, TuC38-01.8, WeC18.2 |
| Advanced process control | FrA23.1, FrA23.3, FrA23.4, FrA23.6, FrB01.4, FrB06.2, FrB23.3, FrB23.4, MoB03.1, MoB03.2, MoB03.3, MoB03.4, MoB03.5, MoB03.6, MoB03.7, MoB03.10, MoB03.13, MoB03.20, MoC02.6, MoC26.2, MoC26.3, MoC38-05.1, MoC38-05.2, MoC38-05.3, MoC38-05.4, MoC38-05.5, MoC38-05.6, MoC38-05.7, MoC38-05.10, MoC38-05.13, MoC38-05.20, ThA01.2, ThA01.3, ThA01.4, ThA08.6, ThA30.6, ThB21.6, ThB22.4, ThC23.1, TuA20.1, TuA20.2, TuA20.3, TuA20.4, TuA20.5, TuA23.3, TuB20.1, TuB20.3, TuB23.2, TuC37.2, WeA10.1, WeA10.2, WeA10.3, WeA10.4, WeA10.5, WeA10.6, WeA20.1, WeA20.2, WeA20.3, WeA20.4, WeA20.6, WeA23.1, WeA23.2, WeA23.6, WeB04.11, WeB04.16, WeB04.18, WeB23.1, WeB23.2, WeB23.3, WeB23.5, WeC20.2, WeC20.6, WeC22.1, WeC22.4, WeC38-05.11, WeC38-05.16, WeC38-05.18 |
| Advanced technology, conflict and post-conflict | MoB30.4, MoC30.3 |
| Aerial and space robotics | FrB02.2, MoB28.1, MoB28.3, MoB28.4, MoC28.4, MoC29.6, ThA04.1, ThA04.2, ThA04.3, ThA04.7, ThA04.9, ThA28.1, ThB27.1, ThB27.2, ThC27.1, ThC27.2, ThC38-06.1, ThC38-06.2, ThC38-06.3, ThC38-06.7, ThC38-06.9, TuA26.1, TuA26.2, TuB26.1, TuB26.4, TuC26.3, TuC26.4 |
| Aerial, field, and marine robotics | FrA05.1, FrA05.2, FrA05.3, FrA05.7, FrA34.1, FrA34.5, FrB06.8, FrB31.6, MoA04.20, MoB04.9, MoB04.10, MoB04.19, MoB04.24, MoB05.5, MoB32.3, MoC32.1, MoC38-06.20, MoC38-07.9, MoC38-07.10, MoC38-07.19, MoC38-07.24, ThA32.1, ThA32.2, ThA32.3, ThA32.4, ThA32.5, ThA32.6, ThB04.1, ThB04.2, ThB04.3, ThB04.4, ThB04.5, ThB04.6, ThB04.7, ThB04.9, ThB04.14, ThB04.15, ThB04.22, ThB32.1, ThB32.2, ThB32.3, ThB32.4, ThC33.1, ThC38-05.1, ThC38-05.2, ThC38-05.3, ThC38-05.4, ThC38-05.5, ThC38-05.6, ThC38-05.7, ThC38-05.9, ThC38-05.14, ThC38-05.15, ThC38-05.22, TuA04.23, TuA30.1, TuC32.1, TuC32.2, TuC32.3, TuC32.4, TuC32.5, TuC32.6, TuC37.4, TuC38-04.23, WeA03.8, WeA33.4, WeB33.1, WeB33.2, WeC05.4, WeC33.4, WeC38-02.8 |
| Aerospace mission control and operations | MoA02.18, MoA04.11, MoB28.2, MoC28.1, MoC28.2, MoC28.3, MoC28.4, MoC38-02.18, MoC38-06.11, ThA04.3, ThA04.7, ThA04.8, ThA04.9, ThA05.4, ThA27.1, ThA27.5, ThB27.4, ThB27.5, ThC27.3, ThC27.5, ThC38-06.3, ThC38-06.7, ThC38-06.8, ThC38-06.9, TuA26.1, TuA26.2, TuB26.2, TuB26.3, TuB26.4, TuC26.4, WeA26.5, WeB05.1, WeB05.2 |
| Agent & AI technology for business and economy | MoA35.5, ThC36.2, TuA34.2, TuA34.5, TuB36.2, TuB36.6, TuC36.4, TuC36.5, WeA37.3, WeB31.2, WeB31.4, WeB31.5, WeB31.6, WeC31.1, WeC31.5 |
| Agricultural robotics | FrA05.4, MoA24.1, MoA24.2, MoA24.3, MoA24.4, MoA24.5, MoA24.6, MoB02.1, MoB02.2, MoB02.15, MoC38-03.1, MoC38-03.2, MoC38-03.15, ThA24.5, ThB24.2, ThB24.3, ThB24.4, ThB24.5, ThB24.6, ThC07.2, ThC24.6, WeA25.6, WeC05.1 |
| AI and embodied-AI in marine systems | FrB26.1, FrB26.2, FrB26.3, FrB26.6, MoA27.2, MoB27.1, MoB27.2, MoB27.3, MoB27.4, MoB27.5, ThA03.16, ThB26.3, ThB26.6, ThB29.1, ThC26.1, ThC32.2, ThC38-04.16, TuA27.2, TuC27.2, TuC27.6, WeA27.1, WeA27.2, WeA27.3, WeA36.1, WeB27.6 |
| AI and learning-based control for automotive systems | MoA19.1, MoA19.2, MoA19.3, MoA19.4, MoA26.1, MoA26.4, MoA28.1, MoA28.2, MoA33.6, MoB26.2, MoB26.3, MoB28.5, MoB28.6, ThA31.1, ThB05.1, ThB31.2, ThB31.3, ThB31.6, TuA04.24, TuA05.7, TuB03.3, TuB03.4, TuB03.5, TuB03.6, TuB03.11, TuB27.6, TuC02.1, TuC02.2, TuC38-04.24, TuC38-06.3, TuC38-06.4, TuC38-06.5, TuC38-06.6, TuC38-06.11, WeB26.1, WeB26.2, WeB26.3, WeB26.4, WeB26.5, WeB26.6, WeC05.7 |
| AI and ML for environmental systems | MoB08.4, ThC24.2, WeA24.1, WeA24.5, WeB24.1, WeB24.4, WeB24.5, WeC24.2 |
| AI for aircraft and spacecraft navigation, guidance and control | FrB24.6, FrB27.1, MoA28.1, MoA28.2, MoB28.3, MoC29.6, ThA04.3, ThA04.14, ThA27.1, ThA27.3, ThB27.1, ThC27.1, ThC38-06.3, ThC38-06.14, TuB26.1, TuB26.3, WeA36.1, WeA36.2, WeC05.8 |
| AI for smart cities | MoA02.1, MoA02.2, MoA33.2, MoA33.5, MoA35.5, MoA37.3, MoB33.2, MoB37.6, MoC38-02.1, MoC38-02.2, ThB36.4, ThC11.1, ThC11.2, ThC11.3, ThC36.3, TuA28.1, TuA28.5, TuA28.6, TuC34.1, TuC34.4, TuC34.5, WeA37.2 |
| AI in networked control | TuA03.1, TuA33.4, TuC38-02.1, WeC34.1, WeC34.2 |
| AI methods for FDI/FTC | FrA30.2, FrB24.1, MoA20.5, ThA20.2, ThA20.5, ThA30.3, ThB20.3, ThB20.4, WeA06.5, WeB04.1, WeB04.2, WeB04.3, WeB04.15, WeC21.2, WeC21.5, WeC23.2, WeC38-05.1, WeC38-05.2, WeC38-05.3, WeC38-05.15 |
| AI tools in automation engineering and operation | FrB24.5, ThA20.6, ThB20.6, TuA03.1, TuA03.8, TuA03.9, TuA03.12, TuA03.15, TuA03.23, TuB33.3, TuB33.4, TuC33.3, TuC38-02.1, TuC38-02.8, TuC38-02.9, TuC38-02.12, TuC38-02.15, TuC38-02.23, WeB34.1, WeB34.2, WeB34.3, WeB34.4, WeB34.5 |
| AI-based enterprise systems | MoC35.1, TuA18.6, TuB19.1, WeA19.2, WeA19.5, WeB18.5 |
| AI-driven modeling and control | MoB11.3, MoB11.6, ThC31.6, TuA02.10, TuA02.11, TuA02.14, TuA02.15, TuA03.1, TuA03.2, TuA03.3, TuA03.4, TuA03.5, TuA03.17, TuA03.19, TuA03.20, TuA03.23, TuA33.1, TuA33.3, TuA33.5, TuB33.1, TuB33.3, TuC33.1, TuC33.3, TuC33.4, TuC38-01.10, TuC38-01.11, TuC38-01.14, TuC38-01.15, TuC38-02.1, TuC38-02.2, TuC38-02.3, TuC38-02.4, TuC38-02.5, TuC38-02.17, TuC38-02.19, TuC38-02.20, TuC38-02.23, WeB34.1, WeB34.2 |
| AI-powered robotics | FrA05.5, FrB06.7, FrB06.8, FrB31.1, FrB34.1, MoA02.12, MoA05.2, MoA32.1, MoA32.3, MoC38-02.12, MoM00.1, ThA35.6, ThB04.8, ThB04.9, ThB04.10, ThB04.11, ThB04.16, ThB34.6, ThC38-05.8, ThC38-05.9, ThC38-05.10, ThC38-05.11, ThC38-05.16, TuA30.1, TuA30.2, TuA30.4, TuA32.3, WeA03.5, WeA03.16, WeA33.1, WeA35.1, WeA35.3, WeB33.3, WeB33.4, WeC38-02.5, WeC38-02.16 |
| Air quality modeling and control | WeA24.1, WeB24.2 |
| Analytic design | FrA16.6, MoA02.3, MoB19.5, MoC17.3, MoC38-02.3, ThA05.2, ThC05.5, TuA04.7, TuB02.5, TuB02.6, TuB02.7, TuB02.8, TuB13.1, TuB21.2, TuC38-03.5, TuC38-03.6, TuC38-03.7, TuC38-03.8, TuC38-04.7, WeA02.18, WeA04.16, WeA04.19, WeB02.8, WeB02.20, WeC16.6, WeC17.2, WeC17.5, WeC38-03.18, WeC38-04.8, WeC38-04.20, WeC38-06.16, WeC38-06.19 |
| Application of mechatronic principles | FrA30.3, FrB33.3, MoB05.1, ThB04.12, ThC38-05.12, TuA29.1, TuA29.2, TuA29.3, TuA37.3, WeA32.3, WeA32.5, WeC32.5 |
| Application of nonlinear analysis and design | FrB14.1, FrB14.3, FrB14.4, FrB15.5, MoA17.2, MoA17.3, MoA17.4, MoA17.5, MoB17.4, MoB17.5, MoC16.5, MoC37.4, ThA15.3, ThA15.6, ThB05.3, ThB13.1, ThB13.3, ThB13.5, ThB14.4, ThB15.6, ThC13.5, ThC15.1, TuA04.2, TuA04.4, TuA04.9, TuA17.1, TuA17.4, TuB02.19, TuB04.9, TuB04.15, TuB04.18, TuB04.21, TuB13.1, TuB13.2, TuB17.1, TuC14.3, TuC38-03.19, TuC38-04.2, TuC38-04.4, TuC38-04.9, TuC38-05.9, TuC38-05.15, TuC38-05.18, TuC38-05.21, WeA02.1, WeA02.2, WeA02.5, WeA02.6, WeA02.7, WeA02.8, WeA05.1, WeA13.3, WeB02.1, WeB02.2, WeB02.9, WeB02.10, WeC14.2, WeC14.3, WeC37.1, WeC38-03.1, WeC38-03.2, WeC38-03.5, WeC38-03.6, WeC38-03.7, WeC38-03.8, WeC38-04.1, WeC38-04.2, WeC38-04.9, WeC38-04.10 |
| Applications of FDI/FTC | MoA20.1, MoA20.2, MoA20.3, MoA20.4, MoB20.6, WeB04.1, WeB04.7, WeB04.12, WeC38-05.1, WeC38-05.7, WeC38-05.12 |
| Applications of optimal control | FrA13.1, FrA13.2, FrA13.3, FrA13.4, FrA13.5, FrA13.6, FrA31.4, FrB02.6, FrB13.1, FrB13.2, FrB13.3, FrB13.4, FrB16.2, MoA02.11, MoB14.3, MoB16.4, MoC14.6, MoC38-02.11, ThA14.1, ThA17.5, TuA04.1, TuA04.2, TuA04.3, TuA04.4, TuA04.13, TuA05.3, TuA14.3, TuA14.4, TuA14.5, TuA14.6, TuA16.2, TuB04.8, TuB04.10, TuB04.12, TuB04.20, TuB15.1, TuC14.5, TuC38-04.1, TuC38-04.2, TuC38-04.3, TuC38-04.4, TuC38-04.13, TuC38-05.8, TuC38-05.10, TuC38-05.12, TuC38-05.20, WeA04.1, WeA04.2, WeA05.2, WeA13.1, WeA13.4, WeA13.6, WeA14.2, WeA14.3, WeA16.6, WeC13.3, WeC37.3, WeC38-06.1, WeC38-06.2 |
| Artificial intelligence in transportation | FrA26.1, MoA19.5, ThA04.14, ThA04.21, ThA30.1, ThB29.2, ThC02.1, ThC38-06.14, ThC38-06.21, WeA36.1, WeA36.2, WeA36.3, WeA36.4, WeA36.5, WeA36.6 |
| Artificial pancreas or organs | FrA28.5, FrB28.1, FrB28.2, MoA25.1, MoA25.2, MoA25.3, MoA25.4, MoA25.5, MoA25.6, ThB25.3, TuA25.2, TuA25.3, TuA25.4, TuA25.5, TuA25.6, TuB25.1, TuB25.2, TuB25.3 |
| Automatic control in greenhouses | MoB02.2, MoC38-03.2, ThC24.5 |
| Automatic control, optimization, real-time operations in transportation | FrA26.1, MoA04.1, MoA33.6, MoB29.1, MoC28.1, MoC38-06.1, ThA04.15, ThA04.16, ThA04.18, ThA04.21, ThA13.5, ThA13.6, ThA31.6, ThB29.5, ThB29.6, ThB30.2, ThB31.5, ThC02.2, ThC02.3, ThC02.4, ThC02.5, ThC29.2, ThC29.4, ThC29.6, ThC38-06.15, ThC38-06.16, ThC38-06.18, ThC38-06.21, TuA26.5, TuB03.8, TuB03.12, TuB03.15, TuB27.2, TuC38-06.8, TuC38-06.12, TuC38-06.15, WeA26.2, WeA26.4, WeA26.5, WeC02.2 |
| Automation for post harvest technology | MoB24.5, ThA24.6 |
| Automotive system identification and modelling | MoA19.6, MoA26.1, MoB26.4, ThA31.2, ThA31.3, ThB17.3, ThB31.2, ThC31.1, ThC31.2, TuA04.24, TuA05.7, TuB03.2, TuB03.3, TuB03.4, TuB03.6, TuB03.7, TuB03.16, TuB03.18, TuC02.1, TuC02.3, TuC38-04.24, TuC38-06.2, TuC38-06.3, TuC38-06.4, TuC38-06.6, TuC38-06.7, TuC38-06.16, TuC38-06.18, WeA09.6, WeB26.1, WeC02.1, WeC02.6 |
| Autonomous marine systems and vehicles | FrB26.2, FrB26.4, FrB26.5, MoA27.1, MoA27.2, MoB27.1, MoB27.2, MoB27.5, MoB27.6, MoC27.1, MoC27.3, MoC27.5, ThA03.3, ThA03.4, ThA03.5, ThA03.6, ThA03.7, ThA03.8, ThA03.13, ThA03.14, ThA03.15, ThB26.1, ThB26.2, ThB26.3, ThB26.4, ThB26.5, ThB29.1, ThB32.6, ThC07.5, ThC26.3, ThC26.4, ThC32.3, ThC32.4, ThC38-04.3, ThC38-04.4, ThC38-04.5, ThC38-04.6, ThC38-04.7, ThC38-04.8, ThC38-04.13, ThC38-04.14, ThC38-04.15, TuA27.5, TuB27.1, TuC27.1, TuC27.3, TuC27.4, TuC27.5, WeA03.23, WeA27.4, WeA27.5, WeB27.4, WeC38-02.23 |
| Autonomous mobile robots | FrA26.5, ThA03.17, ThC02.4, ThC28.1, ThC30.1, ThC30.2, ThC30.3, ThC38-04.17, TuB03.1, TuB03.20, TuB26.4, TuB26.5, TuC38-06.1, TuC38-06.20, WeA26.1, WeA26.2, WeA26.3, WeA26.4, WeA26.6, WeC05.2, WeC05.3, WeC36.5 |
| Autonomous navigation | FrA05.1, FrA05.2, FrA05.6, FrA33.2, FrA33.3, FrB06.1, FrB06.4, FrB34.2, MoA32.2, MoB04.24, MoB05.3, MoB32.1, MoB32.3, MoC32.1, MoC38-07.24, ThA32.1, ThB04.2, ThB04.6, ThB04.9, ThB04.10, ThB04.13, ThB04.14, ThB04.15, ThB04.16, ThB04.17, ThB04.18, ThB04.19, ThB04.20, ThB04.21, ThB04.22, ThB04.23, ThB32.1, ThB32.5, ThB34.5, ThC34.4, ThC38-05.2, ThC38-05.6, ThC38-05.9, ThC38-05.10, ThC38-05.13, ThC38-05.14, ThC38-05.15, ThC38-05.16, ThC38-05.17, ThC38-05.18, ThC38-05.19, ThC38-05.20, ThC38-05.21, ThC38-05.22, ThC38-05.23, TuA32.1, TuA32.2, TuA32.3, TuA32.4, TuA32.5, TuA32.6, TuB32.1, TuC32.1, TuC32.2, TuC32.3, TuC32.4, TuC32.5, WeA03.4, WeA03.9, WeA03.10, WeA03.11, WeA03.12, WeA33.2, WeA33.5, WeC05.4, WeC05.5, WeC05.6, WeC33.4, WeC38-02.4, WeC38-02.9, WeC38-02.10, WeC38-02.11, WeC38-02.12 |
| Autonomous vehicles | FrA26.2, FrA26.6, FrA27.1, FrA27.2, FrA27.3, FrA27.4, FrA27.5, FrB27.4, FrB27.5, MoA04.8, MoA04.12, MoA04.13, MoA04.14, MoA29.1, MoA29.2, MoA29.3, MoA29.6, MoB26.2, MoC29.1, MoC29.2, MoC29.3, MoC29.5, MoC29.6, MoC38-06.8, MoC38-06.12, MoC38-06.13, MoC38-06.14, ThA28.3, ThA28.4, ThB05.1, ThB17.1, ThB28.1, ThB28.2, ThB28.4, ThB28.5, ThB28.6, ThC30.4, ThC30.5, ThC30.6, TuA20.6, TuA26.4, TuB03.13, TuC02.5, TuC38-06.13, WeA36.3, WeB26.2, WeB26.3, WeB36.1, WeC02.2, WeC02.4, WeC05.2, WeC05.7, WeC26.1, WeC26.2, WeC26.3, WeC26.4, WeC26.6, WeC36.1, WeC36.2, WeC36.3, WeC36.4, WeC36.5 |
| Avionics and on-board equipments | MoB28.1, TuC26.3 |
| B | Top |
| Backstepping control of distributed parameter systems | FrB16.1, FrB16.6, ThC16.1, ThC16.3, ThC16.6, TuA02.23, TuB04.22, TuC38-01.23, TuC38-05.22 |
| Batch and semi-batch process control | FrA23.3, FrB23.1, FrB23.2, MoB20.1, ThA30.6, TuB23.6, WeA05.3, WeA20.6, WeC37.5 |
| Big data and machine learning applied to smart cities | FrB01.5, FrB21.5, MoA03.1, MoB22.1, MoB22.2, MoC22.2, MoC38-04.1, ThA10.5, TuA22.1, WeA22.3, WeC35.5 |
| Bio-inspired algorithms and optimization-based control | FrA14.3, FrA14.4, FrA14.5, FrB05.1, MoB11.4, MoB29.6, TuA03.18, TuC33.5, TuC38-02.18, WeC34.5 |
| Biological and pharmaceutical systems | FrB23.1, FrB23.2, FrB23.3, FrB23.4, MoC05.4, TuC20.3, TuC23.4, WeB04.17, WeC22.2, WeC37.5, WeC38-05.17 |
| Biological networks inference and modelling | FrB25.3, MoC24.2, MoC24.3, MoC24.5, TuA24.3, WeA24.4, WeA25.1, WeA25.4 |
| Biomedical and biomimetic mechatronic systems | FrB32.2, FrB32.3, MoA32.5, MoB04.4, MoB04.5, MoB05.1, MoB05.6, MoC38-07.4, MoC38-07.5, ThB33.3, ThC33.1, WeB33.2 |
| Biomedical and medical imaging, image processing, visualization | FrA25.1, FrA25.3, FrA25.4, FrA25.5, FrA25.6, FrA28.1, FrB22.6, FrB25.4, MoB02.19, MoC38-03.19, ThA25.2, ThA25.4, TuC24.5, TuC24.6 |
| Biomedical signal measurement and processing | FrA22.3, FrA22.4, FrA22.5, FrA25.1, FrA25.3, FrA28.1, FrA28.2, FrB22.3, FrB22.5, FrB22.6, FrB25.1, FrB25.2, FrB25.4, FrB25.5, FrB28.3, MoA25.3, MoB02.18, MoB02.19, MoC38-03.18, MoC38-03.19, ThA25.2, ThA25.3, ThA25.5, ThA25.6, ThB25.5, ThC25.1, TuA24.1, TuA24.2, TuB25.2, TuB25.3, TuB25.4, TuC24.1, TuC24.4, TuC24.5, TuC24.6, TuC25.1 |
| Biomedical system modeling, identification, and simulation | FrA22.2, FrA22.5, FrA28.1, FrA28.3, FrA28.4, FrA28.5, FrA28.6, FrB22.5, FrB25.2, FrB25.3, FrB25.4, FrB25.5, FrB25.6, FrB28.2, FrB28.4, FrB28.5, MoA25.1, MoA25.2, MoA25.4, MoA25.5, MoA25.6, MoB02.7, MoB02.9, MoB02.13, MoB02.19, MoB25.1, MoB25.6, MoC24.4, MoC38-03.7, MoC38-03.9, MoC38-03.13, MoC38-03.19, ThA25.1, ThA25.4, ThA25.5, ThB25.2, ThB25.3, ThB25.5, ThC25.1, ThC25.2, ThC25.4, TuA24.1, TuA24.2, TuA25.4, TuA25.5, TuA25.6, TuB25.3, TuB25.4, TuB25.5, TuC24.1, TuC24.2, TuC24.3, TuC24.4, TuC25.1, TuC25.2, WeA25.3 |
| Blockchain intelligence | MoB02.3, MoB02.4, MoB02.8, MoB02.10, MoC38-03.3, MoC38-03.4, MoC38-03.8, MoC38-03.10, TuA34.1, TuA34.2, TuA34.3, TuA34.5, TuA34.6, TuB36.2, TuB36.6, TuC36.2, WeB31.3, WeC31.1, WeC31.2, WeC31.5 |
| Boundary control of distributed parameter systems | FrA16.1, FrA16.4, FrB16.3, FrB16.5, MoB15.5, ThA16.3, ThA16.4, ThB16.5, ThC16.1, ThC16.2, ThC16.3, ThC16.5 |
| Brain machine interaction and interface | ThC34.2 |
| Building automation | MoB37.3, WeA37.5 |
| Business and financial analytics | MoB02.10, MoC38-03.10, WeB03.23, WeC31.3, WeC38-01.23 |
| C | Top |
| Capacity building in less developed regions | TuC34.6 |
| Climate change mitigation and adaptation modeling | WeB24.1, WeB24.3, WeB24.4, WeC09.2 |
| Clinical trial, clinical validation | FrA22.4, MoB25.3, ThC25.1, TuC24.2 |
| Cloud control and robotics | MoB11.1, MoB11.5, MoB29.4, TuA03.6, TuC38-02.6, WeC34.1, WeC34.2 |
| Cognitive and emotional control/AI systems, arts and control | MoA02.4, MoC34.4, MoC38-02.4, TuC17.1, TuC17.2, TuC17.3, TuC17.4, TuC36.4, WeC38-07.1, WeC38-07.3 |
| Cognitive processes and human machine systems | MoB04.2, MoC38-07.2 |
| Coherent quantum control | TuC04.2, TuC04.5, WeC04.1 |
| Collaborative networked organizations principles | WeC18.2 |
| Complex dynamic systems | FrA19.3, FrB19.1, FrB19.2, FrB19.4, FrB19.5, FrB19.6, FrB20.4, MoC19.1, MoC19.4, ThA19.1, ThA19.2, ThA19.3, ThA19.4, ThA19.5, ThA19.6, ThB19.1, ThB19.2, ThB19.3, ThB19.4, ThC19.5, TuA02.7, TuC19.2, TuC38-01.7, WeA19.4 |
| Composite systems | FrA19.2 |
| Computational economics | MoB02.5, MoB02.12, MoC38-03.5, MoC38-03.12, TuA34.4, WeB35.1, WeB35.2 |
| Computational methods for FDI | MoB20.3, MoB20.4, ThB20.5 |
| Computer vision in agriculture | FrA05.4, MoA24.6, MoB02.6, MoB02.15, MoC38-03.6, MoC38-03.15, ThA24.2, ThA24.4, ThC24.4, WeA25.6 |
| Condition monitoring and maintenance of aerospace systems | FrB02.2, MoA28.4, MoC28.5, ThA27.2, ThB17.6, ThC02.6, WeC05.8 |
| Consensus | FrB05.3, FrB05.5, MoA01.7, MoA01.9, MoA01.10, MoA01.15, MoA04.9, MoA10.2, MoA10.6, MoB07.2, MoB07.5, MoC07.3, MoC07.4, MoC07.6, MoC38-01.7, MoC38-01.9, MoC38-01.10, MoC38-01.15, MoC38-06.9, ThA13.1, ThB02.1, ThB02.2, ThB02.3, ThB02.4, ThB02.5, ThB02.6, ThB02.16, ThB02.19, ThB08.5, ThC01.1, ThC01.2, ThC01.3, ThC07.1, ThC07.6, ThC38-02.1, ThC38-02.2, ThC38-02.3, ThC38-02.4, ThC38-02.5, ThC38-02.6, ThC38-02.16, ThC38-02.19, TuA06.4, TuA07.2, TuA07.4, TuA08.3, TuB05.2, TuB05.5, TuB07.1, TuB07.2, TuB07.3, TuB07.4, TuB07.5, TuB07.6, TuB08.5, TuC01.2, TuC01.3, TuC01.6, TuC07.2, WeA07.4, WeA07.6, WeA08.5, WeB07.1, WeB08.4, WeC01.2, WeC01.3, WeC01.6, WeC07.5, WeC08.5 |
| Consensus and reinforcement learning control | FrB05.2, MoA01.19, MoA06.5, MoB06.2, MoC08.4, MoC38-01.19, ThB02.8, ThC08.1, ThC08.2, ThC38-02.8, TuA09.1, TuB05.1, TuB05.6, WeB03.1, WeC06.5, WeC38-01.1 |
| Continuing control education | FrB31.5, MoA11.4, TuA35.1, TuA35.4, TuA35.6, TuB35.2, TuB35.3, WeC38-07.4 |
| Control and automation to improve social and political stability | FrB05.8, MoA30.1, MoA35.3, MoB30.1, MoC30.3, MoC30.5, MoC33.1, ThB36.1, ThB36.2, ThB36.3, WeB35.6 |
| Control and management of energy systems | FrA01.1, FrA21.2, FrA21.3, FrA21.4, FrA21.5, FrB21.2, FrB21.3, FrB30.3, MoA02.17, MoA03.2, MoA03.11, MoA03.14, MoA03.16, MoA03.18, MoA20.2, MoA21.1, MoA36.3, MoA36.4, MoA36.6, MoB22.3, MoB36.5, MoB36.6, MoC02.1, MoC02.2, MoC02.4, MoC02.5, MoC02.6, MoC21.6, MoC22.3, MoC22.5, MoC38-02.17, MoC38-04.2, MoC38-04.11, MoC38-04.14, MoC38-04.16, MoC38-04.18, ThA05.1, ThA21.5, ThB21.1, ThB21.2, ThB21.3, ThB21.4, ThB22.1, ThB22.2, ThB22.3, ThC21.3, ThC21.4, ThC21.6, ThC23.5, ThNSP1.1, TuA21.2, TuA21.3, TuB22.4, TuC22.1, TuC22.2, TuC22.5, TuC22.6, WeA21.1, WeA21.4, WeA22.1, WeA22.2, WeA22.3, WeA22.4, WeA22.5, WeA22.6, WeB04.4, WeB04.5, WeB04.6, WeB04.9, WeB04.16, WeB04.20, WeB04.21, WeB05.6, WeB22.3, WeC23.3, WeC23.4, WeC23.6, WeC38-05.4, WeC38-05.5, WeC38-05.6, WeC38-05.9, WeC38-05.16, WeC38-05.20, WeC38-05.21 |
| Control and optimization for sustainability and energy systems | FrB02.1, MoA03.14, MoA03.17, MoA03.19, MoA03.23, MoA36.5, MoB03.8, MoB22.4, MoC02.6, MoC22.1, MoC38-04.14, MoC38-04.17, MoC38-04.19, MoC38-04.23, MoC38-05.8, ThA05.1, ThC21.1, ThC21.3, ThC23.4, ThC23.5, TuB22.5, TuB23.1, TuB23.3, WeA21.4, WeA23.5, WeB22.1, WeB22.2, WeB22.3, WeB22.5, WeB23.2, WeC20.1, WeC20.2, WeC20.3, WeC20.4, WeC20.6, WeC21.4 |
| Control and optimization of supply chains in chemical processes | MoB03.9, MoC38-05.9, WeA23.4 |
| Control approaches for reaching the United Nations SDGs | MoC30.4, WeC35.1, WeC35.2, WeC35.4 |
| Control architecture for multi agent systems | FrB31.2, MoB29.6, TuA02.12, TuA02.13, TuA33.4, TuC38-01.12, TuC38-01.13 |
| Control architectures in automotive control | MoA04.1, MoC38-06.1, ThA04.16, ThA04.22, ThC31.1, ThC31.2, ThC38-06.16, ThC38-06.22, TuB03.8, TuB03.9, TuC38-06.8, TuC38-06.9, WeA05.4, WeA26.1, WeB36.1, WeC02.4, WeC16.1 |
| Control barrier functions and state space constraints | FrA13.5, FrB13.5, FrB14.2, FrB14.3, FrB14.4, FrB14.5, FrB14.6, MoA02.11, MoA16.1, MoA17.6, MoB03.21, MoC38-02.11, MoC38-05.21, TuB02.9, TuB15.2, TuC38-03.9, WeA02.1, WeA02.3, WeA02.4, WeA02.5, WeA02.6, WeA02.7, WeA02.8, WeA02.9, WeA02.10, WeA02.11, WeA02.12, WeA02.13, WeA02.14, WeA02.15, WeA02.16, WeA02.17, WeA02.18, WeA02.19, WeA04.14, WeA13.5, WeC38-03.1, WeC38-03.3, WeC38-03.4, WeC38-03.5, WeC38-03.6, WeC38-03.7, WeC38-03.8, WeC38-03.9, WeC38-03.10, WeC38-03.11, WeC38-03.12, WeC38-03.13, WeC38-03.14, WeC38-03.15, WeC38-03.16, WeC38-03.17, WeC38-03.18, WeC38-03.19, WeC38-06.14 |
| Control curriculum in elementary/secondary education | ThB37.1, ThB37.3, TuA35.5, WeC38-07.2, WeC38-07.9 |
| Control education laboratories | FrA31.2, FrB31.3, FrB31.5, MoA02.5, MoA02.13, MoA11.4, MoC38-02.5, MoC38-02.13, ThA37.1, ThA37.2, ThA37.3, ThA37.6, ThB37.2, ThB37.3, ThB37.4, TuA35.1, TuA35.2, TuB35.1, TuB35.2, TuB35.3, TuB35.4, TuB35.5, TuC35.1, TuC35.2, TuC35.3, TuC35.4, TuC35.5, WeA05.5, WeC38-07.11, WeC38-07.12 |
| Control education learning analytics | MoA02.14, MoA11.5, MoC38-02.14, ThA37.1, TuA35.1, WeC38-07.5 |
| Control engineering curricula | FrA31.2, MoA02.13, MoA02.14, MoA11.1, MoA11.2, MoA11.5, MoA35.1, MoC38-02.13, MoC38-02.14, MoNSP2.1, ThA37.3, ThA37.4, ThA37.6, ThB37.2, TuA35.2, TuA35.3, TuA35.4, TuA35.5, TuA35.6, TuB35.3, TuB35.4, TuC35.2, WeA05.5, WeC38-07.4, WeC38-07.7, WeC38-07.8, WeC38-07.10 |
| Control in neuroscience | FrM00.1, ThC17.5, TuA04.17, TuB02.10, TuC38-03.10, TuC38-04.17 |
| Control in precision agriculture | MoA24.2, MoA24.3, MoB02.1, MoB02.6, MoC38-03.1, MoC38-03.6, ThA24.3, ThA24.6, ThB24.1, ThB24.5, ThB24.6, ThC07.2, ThC24.1, ThC24.5, WeC05.1 |
| Control in system biology | MoB13.1, TuA15.5, TuB02.11, TuC38-03.11, WeA13.4 |
| Control of complex systems | MoA02.3, MoA15.6, MoC15.4, MoC38-02.3, ThA05.2, ThA17.2, ThC14.2, TuA04.5, TuA04.6, TuA15.2, TuC05.5, TuC15.4, TuC38-04.5, TuC38-04.6, WeB17.6, WeC13.3, WeC37.4 |
| Control of distributed parameter systems | FrA16.1, FrA16.2, FrA16.6, FrB16.1, FrB16.3, FrB16.4, ThC16.4, ThC16.6, TuB04.2, TuB04.6, TuC38-05.2, TuC38-05.6, WeA04.4, WeC38-06.4 |
| Control of hybrid systems | FrA13.1, MoC17.1, ThA05.3, TuB02.12, TuB02.13, TuB02.14, TuB04.6, TuC38-03.12, TuC38-03.13, TuC38-03.14, TuC38-05.6, WeA03.24, WeA04.8, WeA04.20, WeC38-02.24, WeC38-06.8, WeC38-06.20 |
| Control of hyperbolic systems and conservation laws | FrB16.1, FrB16.4, ThC16.1 |
| Control of large-scale environmental systems | WeA24.2, WeC24.6 |
| Control of multi satellite systems | ThA05.4, ThA27.1, ThA27.2, ThA27.4, ThA27.5, ThA27.6, ThC27.4 |
| Control of multi-scale, distributed, and particulate systems | MoB03.8, MoB03.9, MoC05.5, MoC38-05.8, MoC38-05.9, TuA23.4, TuC20.3, WeA10.4 |
| Control of networks | FrB05.3, FrB07.6, FrB31.4, MoA01.4, MoA01.5, MoA01.11, MoA01.12, MoA07.2, MoA07.3, MoA07.4, MoA07.6, MoA09.1, MoA20.6, MoB07.4, MoC01.4, MoC07.3, MoC07.5, MoC38-01.4, MoC38-01.5, MoC38-01.11, MoC38-01.12, ThA13.3, ThB02.1, ThB02.6, ThB02.7, ThB02.8, ThB02.9, ThB07.4, ThB08.1, ThC01.4, ThC38-02.1, ThC38-02.6, ThC38-02.7, ThC38-02.8, ThC38-02.9, TuA06.4, TuA07.2, TuB05.2, TuB05.8, TuB07.1, TuB08.1, TuC07.2, TuC07.3, TuC07.4, TuC07.6, WeA09.3, WeB03.15, WeB07.2, WeB07.5, WeC07.5, WeC08.1, WeC37.2, WeC38-01.15 |
| Control of physiological and clinical variables | FrA28.2, FrB22.2, FrB28.3, MoA25.1, MoA25.2, MoB02.7, MoB02.9, MoC38-03.7, MoC38-03.9, ThB25.2, ThB25.4, TuA24.4, TuA25.3, TuA25.5, TuB25.2, TuB25.4, TuB25.5 |
| Control of uncertain LPV systems | MoA16.2, MoA16.6, WeA15.1, WeA15.3 |
| Control over networks | FrA30.4, FrB05.3, FrB05.4, FrB05.5, MoA01.6, MoA01.13, MoA07.2, MoB07.3, MoB23.5, MoC09.1, MoC09.2, MoC38-01.6, MoC38-01.13, ThA03.9, ThA03.18, ThA06.4, ThA07.2, ThA07.3, ThA10.4, ThA29.6, ThB02.10, ThB02.11, ThB02.12, ThB02.13, ThB02.14, ThB02.15, ThB02.20, ThB07.1, ThB07.2, ThB07.3, ThC01.4, ThC01.5, ThC01.6, ThC07.1, ThC38-02.10, ThC38-02.11, ThC38-02.12, ThC38-02.13, ThC38-02.14, ThC38-02.15, ThC38-02.20, ThC38-04.9, ThC38-04.18, TuA07.3, TuA07.5, TuA08.2, TuB05.7, TuB07.4, TuB08.2, TuB10.6, TuC01.4, TuC07.1, TuC07.4, WeA08.1, WeA08.4, WeB03.11, WeC06.6, WeC08.1, WeC38-01.11 |
| Control software architecture | FrB31.2, MoA23.1, ThB20.6, ThC23.6, TuA03.7, TuA03.21, TuC38-02.7, TuC38-02.21, WeC34.4 |
| Control under communication constraints | FrB07.4, MoA01.7, MoA01.14, MoA01.16, MoA07.6, MoC01.1, MoC01.4, MoC01.5, MoC01.6, MoC38-01.7, MoC38-01.14, MoC38-01.16, ThA02.14, ThA03.19, ThA03.21, ThA07.6, ThB02.4, ThB02.10, ThB02.11, ThB02.16, ThB07.1, ThB07.2, ThB07.4, ThB07.5, ThB07.6, ThC01.1, ThC10.3, ThC38-01.14, ThC38-02.4, ThC38-02.10, ThC38-02.11, ThC38-02.16, ThC38-04.19, ThC38-04.21, TuA07.1, TuA07.3, TuA07.6, TuA09.2, TuB05.3, TuB06.5, WeA08.3, WeB03.11, WeC01.1, WeC01.4, WeC08.2, WeC38-01.11 |
| Control using FAS approach | FrA03.1, FrA03.2, FrA03.3, FrA03.4, FrA03.5, FrB03.1, FrB03.2, FrB03.3, FrB03.4, FrB03.5, MoC03.1, MoC03.2, MoC03.4, MoC03.5, MoC03.6, ThC03.1, ThC03.2, ThC03.3, ThC03.4, ThC03.5, TuC03.1, TuC03.2, TuC03.3, TuC03.4, WeC03.1, WeC03.2, WeC03.3, WeC03.6 |
| Controller constraints and structure | FrB14.1, MoA17.2, MoC17.3, ThA14.3, ThC05.2, ThC05.5, TuA04.18, TuA15.2, TuB02.12, TuB02.15, TuB02.16, TuB02.17, TuB02.18, TuB04.16, TuC16.3, TuC38-03.12, TuC38-03.15, TuC38-03.16, TuC38-03.17, TuC38-03.18, TuC38-04.18, TuC38-05.16, WeA02.7, WeA02.8, WeA02.9, WeA02.22, WeA04.21, WeB17.1, WeC37.1, WeC38-03.7, WeC38-03.8, WeC38-03.9, WeC38-03.22, WeC38-06.21 |
| Convex optimization | FrB14.5, MoA15.2, MoA16.3, MoC13.1, MoC16.6, ThB13.4, ThC14.3, TuA04.11, TuA05.3, TuA05.4, TuA13.1, TuA13.2, TuA13.3, TuA13.4, TuA13.5, TuA13.6, TuB02.20, TuB04.3, TuB04.4, TuB04.23, TuC38-03.20, TuC38-04.11, TuC38-05.3, TuC38-05.4, TuC38-05.23, WeA02.10, WeA04.10, WeA04.15, WeB16.4, WeC38-03.10, WeC38-06.10, WeC38-06.15 |
| Cooperative navigation | MoA04.13, MoA19.4, MoA29.1, MoC38-06.13, ThB30.1, ThC28.1, ThC28.2, ThC28.3, ThC28.4, ThC28.5, ThC28.6, WeA26.6 |
| Cooperative nonlinear control | MoB15.1, MoB15.2, MoB15.6, MoC14.5, ThB14.3, TuB04.22, TuB15.2, TuC16.4, TuC38-05.22, WeB02.11, WeB14.1, WeC38-04.11 |
| Cost-effective operation and maintenance | MoA30.2, MoA37.5 |
| Cross-cultural aspects of engineering | MoA02.4, MoC38-02.4, WeC38-07.6 |
| Cyber physical human machine systems | ThB34.1, WeB01.2, WeB01.3, WeB01.4, WeB01.5, WeB01.6 |
| Cyber physical social systems (CPSS) | MoB34.4, ThC36.2, ThC36.5, TuB36.1, TuB36.4, TuC36.2, WeA31.3, WeA31.6, WeA37.1, WeB31.2, WeB31.5 |
| Cyber physical systems | FrB05.1, MoA23.1, MoA23.3, MoA23.4, MoA23.5, MoB29.2, MoB29.3, MoB29.4, MoB29.5, ThA03.24, ThC23.6, ThC37.2, ThC38-04.24, TuA03.5, TuA03.8, TuA03.10, TuB33.4, TuC38-02.5, TuC38-02.8, TuC38-02.10, WeC34.1, WeC34.2, WeC34.3, WeC34.4 |
| Cyber security networked control | FrA07.2, FrA07.3, MoA01.1, MoA04.9, MoB23.5, MoC01.2, MoC01.3, MoC09.6, MoC23.3, MoC38-01.1, MoC38-06.9, ThA03.9, ThA03.10, ThC38-04.9, ThC38-04.10, TuA08.2, TuA08.3, TuA08.4, TuA08.5, TuB08.3, WeA07.5, WeA08.1, WeA08.2, WeA08.3, WeA08.4, WeA08.5, WeA08.6, WeB07.3, WeB08.1, WeB08.2, WeB08.4, WeC08.1, WeC08.2, WeC08.3, WeC08.4 |
| Cyber-physical and human systems (CPHS) | MoA02.6, MoA02.7, MoA02.8, MoA30.4, MoA34.6, MoA37.1, MoB34.1, MoB34.2, MoB34.3, MoB34.4, MoB34.5, MoB37.2, MoC30.1, MoC33.2, MoC34.1, MoC34.2, MoC34.3, MoC34.4, MoC34.5, MoC38-02.6, MoC38-02.7, MoC38-02.8, ThA05.5, ThA36.1, ThA36.3, ThB36.5, ThC36.1, ThC36.4, TuC17.4, WeA31.2, WeA31.6, WeB35.4, WeB37.6, WeC35.1, WeC35.3 |
| Cyber-physical production systems | FrA17.3, FrA20.1, FrA20.5, MoA05.4, MoA05.5, MoB18.3, MoC18.2, MoC18.3, MoC19.1, ThA18.5, ThB18.4, TuA02.5, TuA02.22, TuA18.4, TuA18.6, TuA19.2, TuA19.4, TuB18.2, TuB18.4, TuB18.6, TuB19.5, TuC18.5, TuC38-01.5, TuC38-01.22, WeA18.4, WeB18.2, WeC18.1, WeC18.5 |
| Cyber-physical urban systems | MoA02.1, MoA02.2, MoA02.16, MoA33.4, MoA37.2, MoB34.3, MoB37.1, MoB37.4, MoB37.5, MoB37.6, MoC36.1, MoC36.2, MoC36.3, MoC36.5, MoC38-02.1, MoC38-02.2, MoC38-02.16, ThA36.5, ThC11.4, ThC11.5, ThC11.6, TuA28.2, TuA28.4, TuA36.5, TuB34.1, TuB34.5, WeA37.5 |
| Cyber-physical-social systems in enterprises | TuA02.1, TuB19.4, TuC19.1, TuC19.4, TuC19.5, TuC38-01.1, WeA19.2, WeA19.3, WeA19.5 |
| Cyberphysical security in processes | FrB24.1, ThA05.6, WeB04.8, WeB21.1, WeB21.2, WeB21.3, WeB21.4, WeB21.5, WeC38-05.8 |
| Cybersecurity in smart cities | FrB30.1 |
| Cybersecurity in smart grids | FrB21.6, ThA05.6, ThA22.5, TuC21.4 |
| D | Top |
| Data centers and cloud computing | MoA02.9, MoC38-02.9, ThC11.2, TuB34.1, TuB34.2, TuB34.6, TuC34.1, TuC34.2, TuC34.5 |
| Data fusion and mining in control | MoB11.2, TuA03.14, TuA33.2, TuB33.1, TuC33.4, TuC33.5, TuC38-02.14, WeA05.6 |
| Data-driven and AI-based modelling of production and logistics | FrA17.1, FrA17.2, FrA20.3, MoA18.5, MoA22.1, MoA22.2, MoC19.3, MoC35.1, ThA18.3, ThB18.2, ThC20.1, TuA18.1, TuA18.3, TuB18.1, TuB19.3, WeA19.1, WeB19.1, WeB19.2 |
| Data-driven control theory | FrB09.4, FrB10.3, FrB10.5, MoA06.1, MoA06.2, MoA06.3, MoA06.4, MoA06.5, MoA06.6, MoA08.1, MoA08.5, MoA09.3, MoA09.4, MoA09.6, MoB03.24, MoB06.1, MoB06.2, MoB06.3, MoB06.4, MoB06.5, MoB06.6, MoB08.1, MoC05.6, MoC06.1, MoC06.2, MoC06.3, MoC06.4, MoC06.5, MoC06.6, MoC08.4, MoC08.5, MoC23.6, MoC38-05.24, ThA02.14, ThA05.7, ThA06.2, ThA08.2, ThA09.1, ThA09.2, ThB03.1, ThB03.7, ThB03.8, ThB03.10, ThB03.11, ThB06.3, ThB06.4, ThC06.1, ThC06.2, ThC06.3, ThC06.4, ThC06.5, ThC06.6, ThC08.2, ThC09.5, ThC38-01.14, ThC38-03.1, ThC38-03.7, ThC38-03.8, ThC38-03.10, ThC38-03.11, TuA06.1, TuA06.2, TuA06.3, TuA06.4, TuA06.5, TuA06.6, TuA09.2, TuA10.4, TuB06.2, TuB06.3, TuB06.5, TuC05.1, TuC06.1, TuC06.2, TuC06.3, TuC06.4, TuC06.5, TuC09.1, WeA03.19, WeA06.1, WeA06.2, WeA06.3, WeA06.4, WeA06.6, WeA08.2, WeB03.1, WeB03.2, WeB03.3, WeB03.4, WeB06.1, WeB06.2, WeB06.4, WeB06.5, WeB08.3, WeC06.1, WeC06.2, WeC06.3, WeC06.4, WeC06.6, WeC09.4, WeC09.5, WeC38-01.1, WeC38-01.2, WeC38-01.3, WeC38-01.4, WeC38-02.19 |
| Data-driven methods for FDI/FTC | FrA21.1, FrB24.3, FrB24.4, MoB03.15, MoB20.1, MoB20.4, MoB20.5, MoC20.5, MoC38-05.15, ThB23.2, WeA06.5, WeB04.1, WeB04.2, WeB04.3, WeB04.7, WeC21.5, WeC23.2, WeC38-05.1, WeC38-05.2, WeC38-05.3, WeC38-05.7 |
| Data-driven robust control | MoA13.6, MoA14.5, ThA29.1, ThB14.2, ThB14.6, ThC13.1, ThC13.2, ThC13.3, TuA05.1, TuB04.5, TuB14.2, TuB14.4, TuB32.2, TuC38-05.5, WeB02.4, WeB14.4, WeC38-04.4 |
| Data-efficient control via foundation models | FrA04.1, FrA04.4, FrA04.5, ThC04.2 |
| Decentralized and distributed control for large-scale systems | FrA19.1, FrB19.3, MoC19.4, ThA19.4, ThA19.5, ThA19.6, ThB19.5, ThB19.6, ThC19.1, ThC19.2, ThC19.3, ThC19.4, ThC19.5, ThC19.6, TuC19.2 |
| Decentralized control | FrB13.6, FrB15.4, MoB15.1, MoC17.2, ThA14.2, ThA29.4, TuA15.4, TuB02.19, TuB02.20, TuC38-03.19, TuC38-03.20, WeA02.11, WeA04.19, WeA13.5, WeB17.2, WeC17.4, WeC37.4, WeC38-03.11, WeC38-06.19 |
| Decentralized economics/ecosystems (DeEco) | MoA18.6, MoB02.3, MoB02.8, MoC38-03.3, MoC38-03.8, TuA34.1, TuA34.4, TuB36.2, TuC36.1, WeB35.1, WeB37.1, WeC31.1, WeC31.2 |
| Decision and support in marine systems | FrB26.3, FrB26.5, MoA04.6, MoA27.1, MoB27.3, MoC27.2, MoC27.3, MoC27.4, MoC27.5, MoC38-06.6, ThA03.13, ThB29.3, ThC38-04.13, TuC27.4, WeA27.2 |
| Decision making under uncertainty | MoA02.9, MoA02.10, MoA33.1, MoA33.2, MoA33.3, MoB33.1, MoB34.4, MoB34.5, MoB37.2, MoB37.4, MoC30.2, MoC36.4, MoC38-02.9, MoC38-02.10, ThC11.1, ThC11.2, ThC11.3, ThC11.6, ThC36.3, TuA28.1, TuA28.3, TuA28.6, TuA36.4, TuB34.2, TuB34.3, TuB34.6, WeA37.4, WeA37.6, WeB37.1, WeB37.3 |
| Decision support and control in medicine | FrB01.1, FrB22.2, FrB22.4, FrB22.6, FrB28.1, MoA25.3, MoA25.5, MoB25.1, MoB25.2, MoB25.3, ThA25.5, ThB25.1, ThB25.2, ThB25.4, ThC25.2, ThC25.3, ThC25.5, TuA25.2, TuA25.3, TuA25.4, TuB25.1, TuC25.1 |
| Decision support systems | MoB04.15, MoC38-07.15, ThC07.3, TuA30.5 |
| Degree of automation | MoA32.4 |
| Demand response | FrB30.5, MoA03.1, MoA03.19, MoC38-04.1, MoC38-04.19, ThA22.1, ThA22.6, ThB22.5, ThC21.5, ThC22.1, ThC22.3, TuA22.6, TuC21.1, TuC21.2, WeA22.3, WeC23.6 |
| Dependability in marine systems | ThA03.5, ThA26.1, ThC38-04.5 |
| Design methods for data-based control | MoA13.3, MoA14.3, MoA14.4, MoA14.5, MoA14.6, MoB13.2, ThA14.1, ThA14.2, ThA14.3, ThA14.4, ThA14.5, ThA14.6, ThA29.3, ThB14.2, ThB14.3, ThB14.5, ThC13.3, ThC17.1, TuA02.21, TuA04.5, TuA14.6, TuB02.1, TuB02.2, TuB02.5, TuB02.6, TuB02.21, TuB04.9, TuB14.1, TuC14.1, TuC38-01.21, TuC38-03.1, TuC38-03.2, TuC38-03.5, TuC38-03.6, TuC38-03.21, TuC38-04.5, TuC38-05.9, TuNSP1.1, WeA04.7, WeA04.11, WeA13.6, WeA14.1, WeA15.6, WeB14.4, WeC14.1, WeC38-06.7, WeC38-06.11 |
| Development of assistant systems for manufacturing systems | FrA04.6, ThA01.5, ThC04.1 |
| Diagnosis of automotive control systems | ThB30.4, ThC29.3, TuC02.3 |
| Diagnosis of discrete event and hybrid systems | MoC10.1, MoC10.2, MoC10.6, ThA07.1, ThC10.4, WeA09.2, WeB03.5, WeB03.6, WeC38-01.5, WeC38-01.6 |
| Differential or dynamic games | FrA13.3, FrA13.4, MoA02.11, MoC38-02.11, ThA29.2, ThA29.3, ThA29.4, TuA04.7, TuA04.8, TuB04.19, TuB14.2, TuB15.1, TuB15.2, TuB15.3, TuB15.4, TuB15.5, TuB15.6, TuC38-04.7, TuC38-04.8, TuC38-05.19, WeA03.24, WeA04.1, WeC38-02.24, WeC38-06.1 |
| Diffusion process | FrA09.1, FrA09.2, MoC09.4, TuC08.4, TuC08.5 |
| Digital culture | MoA30.1, MoA30.4, MoA35.1, MoA35.4, MoA35.6, MoB30.1, MoB30.2, MoB30.3, MoB30.4, MoB30.5, MoC30.3, MoC34.5, ThB36.1, ThB36.2, ThB36.3, ThB36.5, TuC34.6, WeC18.6 |
| Digital enterprise | TuA19.1, TuA19.4, TuA19.5, TuB19.1 |
| Digital implementation | TuB02.22, TuB02.23, TuC38-03.22, TuC38-03.23, WeA14.5, WeB16.4, WeC07.6, WeC17.5 |
| Digital supply chain and production | MoA22.5, MoC18.6, TuC18.6, WeB19.3 |
| Digital transformation | MoC18.1, MoC18.3, MoC18.4, MoC18.5, TuA02.2, TuA02.9, TuA19.3, TuA19.5, TuB19.5, TuC38-01.2, TuC38-01.9 |
| Digital twins and IoT for aerospace systems control and monitoring | ThB17.6, TuB03.22, TuC38-06.22, WeA26.1 |
| Digital twins for cyber physical systems | ThA03.24, ThA20.6, ThC38-04.24, TuA03.9, TuA03.10, TuA03.11, TuA29.6, TuC38-02.9, TuC38-02.10, TuC38-02.11, WeA05.6, WeC34.4, WeC34.5 |
| Digital twins for power and process systems | FrA31.5, MoC20.4 |
| Digital twins in healthcare, model-based therapeutics | FrA22.1, FrA22.2, FrA25.2, FrA25.3, FrB22.1, FrB22.3, FrB28.5, MoB25.2, MoB25.3, MoB25.6, ThA25.1, ThA25.4, ThA25.6, ThB25.1, ThB25.3, ThC25.2, ThC25.3, ThC25.4 |
| Discrete event modeling and simulation | FrA06.1, MoB10.1, MoC10.1, MoC10.3, MoC10.4, MoC10.5, MoC10.6, MoC23.5, ThA07.1, ThB06.6, ThB10.5, ThC10.4, ThC10.6, TuA10.1, TuA10.6, TuB10.1, TuB10.2, TuB32.3, WeA08.3, WeB03.7, WeB03.12, WeB03.13, WeB03.21, WeB36.6, WeC10.3, WeC38-01.7, WeC38-01.12, WeC38-01.13, WeC38-01.21 |
| Distributed control and estimation | FrA06.3, FrA07.1, FrA07.2, FrA07.3, FrA09.4, FrB07.3, FrB07.4, FrB07.6, FrB31.4, MoA01.6, MoA01.8, MoA01.9, MoA01.10, MoA01.11, MoA01.12, MoA01.13, MoA01.14, MoA01.17, MoA01.18, MoA07.1, MoA07.3, MoA07.5, MoA10.6, MoB07.1, MoB07.3, MoB07.4, MoB07.6, MoC01.3, MoC07.1, MoC07.2, MoC38-01.6, MoC38-01.8, MoC38-01.9, MoC38-01.10, MoC38-01.11, MoC38-01.12, MoC38-01.13, MoC38-01.14, MoC38-01.17, MoC38-01.18, ThA03.11, ThA06.1, ThA07.4, ThA10.2, ThA13.2, ThB02.2, ThB02.7, ThB02.14, ThB02.16, ThB02.17, ThB02.18, ThB07.5, ThB10.4, ThC01.2, ThC09.4, ThC38-02.2, ThC38-02.7, ThC38-02.14, ThC38-02.16, ThC38-02.17, ThC38-02.18, ThC38-04.11, TuA07.1, TuA07.4, TuB05.5, TuB06.5, TuB07.2, TuB07.6, TuB08.1, TuB10.3, TuC01.5, TuC01.6, TuC07.1, TuC07.4, TuC07.5, TuC09.2, WeA01.3, WeA07.1, WeA09.3, WeB07.1, WeB07.2, WeB07.3, WeB07.4, WeB07.5, WeB07.6, WeC01.1, WeC01.2, WeC07.1 |
| Distributed nonlinear control | FrB05.6, MoB15.2, MoB16.5, ThA15.1, ThC13.6, TuA17.3, TuB04.14, TuB15.3, TuC38-05.14, WeB02.11, WeC38-04.11 |
| Distributed optimization | FrB05.5, FrB07.3, MoA01.15, MoA01.16, MoA01.17, MoA01.18, MoA01.22, MoB07.1, MoB07.2, MoB07.4, MoB07.5, MoB07.6, MoC38-01.15, MoC38-01.16, MoC38-01.17, MoC38-01.18, MoC38-01.22, ThA13.1, ThA13.2, ThA13.3, ThB02.5, ThB02.19, ThB02.20, ThB07.6, ThC07.6, ThC38-02.5, ThC38-02.19, ThC38-02.20, TuA07.6, TuB09.6, TuC07.1, WeA01.3, WeA07.1, WeA07.2, WeA07.3, WeA07.4, WeA07.5, WeA07.6, WeB03.2, WeB07.4, WeC01.3, WeC01.4, WeC01.5, WeC01.6, WeC07.4, WeC37.2, WeC38-01.2 |
| Distributed optimization and control for smart cities | FrB30.2, MoA36.4, MoC22.1, ThA10.6, ThA22.4, ThC21.1, ThC21.2, TuA21.1, WeA22.4, WeC35.6 |
| Distributed optimization for smart grids | MoA03.9, MoA21.1, MoA21.5, MoB21.1, MoB36.1, MoC21.3, MoC21.6, MoC38-04.9, ThA21.1, ThA21.4, ThA21.5, ThA22.6, ThC22.3, TuA21.1, TuC21.4, WeA21.1 |
| Distributed parameters port Hamiltonian systems | FrA16.5, ThA16.2, ThA16.3, ThA16.4, ThA16.5, ThB16.1, ThB16.2, ThB16.3, ThB16.4, WeA04.13, WeC38-06.13 |
| Distributed reinforcement learning | FrB07.2, MoA01.19, MoA01.20, MoA20.6, MoB03.22, MoC38-01.19, MoC38-01.20, MoC38-05.22, ThB02.3, ThC08.1, ThC38-02.3, TuB03.24, TuC38-06.24 |
| Distributed robust controller synthesis | MoB14.2, MoB16.6, ThA29.2, ThC13.3, TuA16.5 |
| Distributed/networked FDI/FTC | MoB20.5, WeB21.4, WeC21.1 |
| Disturbance rejection and input-to-state stability | MoA17.1, MoA17.4, MoA17.6, MoB16.2, MoC15.4, ThA05.8, TuB04.6, TuB16.1, TuC38-05.6, WeA02.12, WeB02.12, WeC38-03.12, WeC38-04.12 |
| Diversity and inclusion in digital culture | MoA30.1, MoA35.2, MoA35.6, MoB30.1, MoB30.2, MoB30.3, MoC30.5, ThB36.1, ThB36.2, ThB36.3, WeC18.6, WeC38-07.6 |
| Dynamics and control of biologically motivated nonlinear systems | FrB25.6, MoB02.9, MoB02.13, MoB25.5, MoC24.1, MoC24.3, MoC25.1, MoC25.3, MoC25.6, MoC38-03.9, MoC38-03.13, TuA24.3, TuB24.1, TuB24.4, TuC24.2, TuC25.2, WeA25.1, WeA25.2, WeA25.3, WeA25.4, WeA25.5, WeB25.1, WeB25.2, WeB25.3, WeB25.4, WeB25.5 |
| Dynamics and control of gene expression and metabolic pathways | FrA28.6, FrB25.5, MoB24.1, MoB24.2, MoB24.3, MoB24.4, MoC24.1, MoC24.2, MoC24.5, MoC25.2, MoC25.5, WeB25.3 |
| Dynamics in farm management systems | ThB24.4, ThC24.1 |
| E | Top |
| Econometric models and methods | FrB05.8, MoB02.8, MoB02.11, MoC38-03.8, MoC38-03.11, TuC36.1, WeB03.23, WeC31.2, WeC31.3, WeC38-01.23 |
| Electric and solar vehicles | FrA30.6, MoA04.18, MoA19.1, MoA26.2, MoA26.3, MoA26.5, MoA36.1, MoB26.4, MoC38-06.18, ThA04.19, ThA13.6, ThA31.1, ThA31.2, ThA31.4, ThB31.5, ThC31.3, ThC38-06.19, TuA05.7, TuB03.3, TuB03.6, TuB03.17, TuB03.21, TuC38-06.3, TuC38-06.6, TuC38-06.17, TuC38-06.21, WeA05.4, WeC02.5 |
| Electric vehicles and charging stations | MoA21.4, MoA36.2, MoB21.1, MoB21.2, MoB21.3, MoB21.6, MoC02.1, MoC21.2, MoC21.3, MoC22.4, ThA21.6, WeB04.4, WeC38-05.4 |
| Electric vehicles integration in energy networks | MoA21.4, MoA36.2, MoC21.1, MoC22.4, ThA22.4 |
| Electrical distribution systems | MoA21.2, MoA21.3, MoA36.3, MoB21.4, MoB21.6, MoC22.2, ThA21.1, ThA21.4, ThA22.2, ThA22.3, TuA21.2, TuA22.5, TuB21.4, TuC21.2, TuC21.3, WeA21.5, WeC23.1 |
| Electrical protection and fault diagnosis | ThA01.1 |
| Electrical transmission systems | MoA03.3, MoA03.6, MoA03.10, MoA03.11, MoA21.2, MoA21.6, MoB03.19, MoB21.2, MoB21.5, MoC38-04.3, MoC38-04.6, MoC38-04.10, MoC38-04.11, MoC38-05.19, ThA21.2, TuA21.2, TuA22.5, TuB21.1, TuB21.5 |
| Energy communities | FrB24.2, MoA36.4, MoA36.5, MoB22.5, MoC21.5, ThC21.1, ThC21.2, ThC21.3, WeA22.2 |
| Energy management systems | FrA23.5, FrB21.1, MoA03.2, MoA03.3, MoA03.4, MoA03.5, MoA03.7, MoA03.14, MoA03.15, MoA03.23, MoA21.4, MoA36.5, MoA36.6, MoB21.1, MoB36.1, MoC02.1, MoC02.2, MoC21.3, MoC21.4, MoC21.5, MoC21.6, MoC22.3, MoC22.5, MoC38-04.2, MoC38-04.3, MoC38-04.4, MoC38-04.5, MoC38-04.7, MoC38-04.14, MoC38-04.15, MoC38-04.23, ThA21.2, ThA22.1, ThA22.6, ThB22.5, ThB22.6, ThC22.2, ThC22.6, TuA22.1, TuA22.3, TuA22.6, TuB22.5, TuC21.1, WeA21.1, WeA21.2, WeB22.2, WeB22.3, WeC20.2, WeC23.5 |
| Energy market | MoA03.3, MoA03.4, MoB22.3, MoB36.1, MoC21.2, MoC38-04.3, MoC38-04.4, ThA21.5, ThA22.1, ThC21.2, TuA22.2, TuA22.3, TuC21.1, WeA21.5, WeA23.5 |
| Energy storage systems | FrA01.1, FrA31.1, MoA02.17, MoA03.18, MoA03.20, MoB22.5, MoB36.2, MoB36.3, MoB36.4, MoC21.5, MoC38-02.17, MoC38-04.18, MoC38-04.20, ThA21.3, ThB22.1, ThC21.4, ThC22.2, TuB22.1, TuB22.2, TuB22.3, TuB22.4, TuB22.5, TuC21.6, TuC22.2, TuC22.6, WeB04.6, WeB04.8, WeB04.9, WeC38-05.6, WeC38-05.8, WeC38-05.9 |
| Engine and powertrain modeling and control | FrA30.1, MoA19.2, MoA26.3, ThA31.4, ThB31.3, ThB31.4, TuB03.2, TuB03.10, TuB03.18, TuB27.6, TuC02.4, TuC38-06.2, TuC38-06.10, TuC38-06.18 |
| Engineering ethics in control and AI | MoA35.2, MoA35.3, MoA35.5, WeC38-07.6 |
| Enterprise architecture | FrB17.1, MoC18.1, TuB19.4, TuC19.1 |
| Enterprise interoperability | FrB17.1, MoC18.1, TuA02.1, TuA02.9, TuB19.4, TuC19.1, TuC38-01.1, TuC38-01.9, WeA19.2, WeA19.5, WeC18.5 |
| Estimation and filtering | FrA08.2, FrB07.5, FrB08.3, FrB08.5, FrB08.6, MoB09.6, MoC09.1, MoC09.2, MoC09.3, MoC09.4, MoC09.5, MoC09.6, ThA02.2, ThA02.3, ThA02.22, ThA10.2, ThA30.2, ThA30.4, ThB03.5, ThB03.16, ThB03.24, ThB09.1, ThB09.2, ThC09.4, ThC38-01.2, ThC38-01.3, ThC38-01.22, ThC38-03.5, ThC38-03.16, ThC38-03.24, TuB05.8, TuB08.3, TuB09.1, TuB09.3, TuB09.4, TuC08.4, TuC09.1, TuC09.2, TuC09.3, TuC09.4, WeA09.1, WeA09.2, WeB08.2, WeB08.5, WeB09.3, WeB09.4, WeB09.5, WeB10.1, WeB10.2, WeB10.3, WeB10.4, WeB10.5, WeB10.6, WeC07.1, WeC07.2, WeC09.1, WeC10.1, WeC10.3, WeC10.4, WeC10.5, WeC10.6 |
| Event-based control | FrA08.3, FrM00.1, MoB06.3, MoB10.6, MoC01.1, MoC07.4, MoC09.2, MoC10.3, MoC10.4, MoC23.1, ThA07.1, ThA07.2, ThA07.3, ThA07.4, ThA07.5, ThA10.1, ThB02.9, ThB02.12, ThB08.1, ThB10.5, ThC01.5, ThC38-02.9, ThC38-02.12, TuA10.2, TuB10.4, TuB10.5, TuB10.6, WeB03.16, WeB03.21, WeC38-01.16, WeC38-01.21 |
| Expert systems and cognitive-based control | TuA03.12, TuC38-02.12, WeB34.2 |
| Explainability and safety of LLM-based controllers | FrA04.6, ThC04.1 |
| Extremum seeking and model free adaptive control | MoA08.2, MoA08.3, ThC08.3, ThC08.4, ThC08.5, ThC08.6, TuC05.2, TuC06.3, TuNS.1, WeC07.3 |
| F | Top |
| Farmland irrigation and drainage control | ThA24.1 |
| Fault detection and diagnosis | MoA10.3, MoC10.2, ThA03.10, ThA08.1, ThA08.2, ThA08.3, ThA08.4, ThA08.5, ThA30.5, ThB02.21, ThB03.4, ThB03.5, ThB03.19, ThB08.1, ThB08.2, ThB08.3, ThB08.4, ThB08.5, ThB08.6, ThB09.3, ThB09.4, ThC38-02.21, ThC38-03.4, ThC38-03.5, ThC38-03.19, ThC38-04.10, TuA08.4, TuA08.5, TuB08.4, TuB10.3, WeA08.1, WeA08.4, WeA08.6 |
| Fault detection and isolation | ThC15.3, TuA02.21, TuA04.3, TuA04.9, TuA04.10, TuB02.24, TuC38-01.21, TuC38-03.24, TuC38-04.3, TuC38-04.9, TuC38-04.10, WeB05.5, WeC14.4 |
| Fault detection and isolation methods | FrA24.2, FrA30.5, FrB24.3, FrB24.4, MoA20.1, MoA20.2, MoA20.3, MoA20.4, MoB20.1, MoB20.2, ThA20.3, ThB23.2, ThB23.5, WeA06.5, WeB04.2, WeB04.10, WeB04.11, WeB04.12, WeB04.13, WeB04.19, WeB20.3, WeB21.3, WeB21.4, WeB21.5, WeC21.3, WeC38-05.2, WeC38-05.10, WeC38-05.11, WeC38-05.12, WeC38-05.13, WeC38-05.19 |
| Fault-tolerant control methods | MoB20.3, MoB20.6, TuA21.6, WeB04.14, WeC38-05.14 |
| Filtering and smoothing | FrA06.6, FrA09.3, FrA10.6, MoB09.1, ThA02.15, ThA06.1, ThB03.6, ThB03.7, ThB09.5, ThC38-01.15, ThC38-03.6, ThC38-03.7, TuC05.3, TuC09.1, TuC09.2, TuC09.3, TuC09.4, TuC09.5, TuC09.6, TuC37.1, WeA09.1, WeB08.3, WeB08.6, WeB09.1, WeB09.2, WeB09.3, WeB09.4, WeB09.5, WeB09.6, WeB10.1, WeB10.2, WeB10.3, WeB10.6, WeC10.4 |
| Financial systems | MoB02.3, MoB02.10, MoC38-03.3, MoC38-03.10, WeB03.23, WeB35.2, WeC31.3, WeC38-01.23 |
| Flight dynamics modelling and identification | FrB24.6, MoA02.18, MoA28.3, MoA28.4, MoA28.5, MoC38-02.18, ThA04.13, ThB27.1, ThB27.6, ThC38-06.13, TuC26.1, TuC26.5, WeB05.1 |
| Forecasting of power supply and demand | MoA03.4, MoA03.5, MoA03.15, MoB21.3, MoC38-04.4, MoC38-04.5, MoC38-04.15, ThB22.5, ThC22.3, TuA22.1, TuA22.4, TuA22.6, WeA21.2, WeB04.22, WeC38-05.22 |
| Fully-actuated systems in industry | FrA03.2, FrA03.3, FrB03.1, FrB03.2, FrB03.3, MoC03.3, ThC03.1, TuC03.1, TuC03.2, WeC03.3 |
| Fuzzy and neural systems in control | FrA14.3, FrB24.5, ThC37.1, ThC37.2, ThC37.3, ThC37.4, ThC37.5, TuA03.11, TuC38-02.11 |
| G | Top |
| Game theories | FrB05.8, MoA02.7, MoB02.11, MoB02.12, MoB34.3, MoB34.6, MoC38-02.7, MoC38-03.11, MoC38-03.12, ThA36.5, TuA36.1, TuC36.1, WeA31.1, WeA31.3, WeA37.3, WeB35.2, WeB35.3, WeB35.4, WeC31.5 |
| Gaussian process | MoC08.3, ThA02.4, ThA08.3, ThC09.2, ThC38-01.4, TuC37.5, WeC10.2 |
| Generative AI in control education | MoA35.1, TuA35.2, TuA35.6, TuC17.5, WeC31.4 |
| Global fully actuated systems | FrA03.2, FrA03.3, FrA03.4, FrA03.5, FrB03.2, FrB03.3, FrB03.4, MoC03.1, MoC03.2, MoC03.3, MoC03.6, ThC03.2, ThC03.3, ThC03.4, ThC03.5, TuC03.2, TuC03.5 |
| Guidance, navigation and control for AVs | FrB27.2, MoA04.1, MoA04.14, MoA04.15, MoC29.1, MoC29.2, MoC38-06.1, MoC38-06.14, MoC38-06.15, ThA04.1, ThA04.10, ThA28.1, ThA28.2, ThA28.3, ThA28.4, ThA28.5, ThA28.6, ThC28.4, ThC29.3, ThC38-06.1, ThC38-06.10, TuB03.9, TuB03.14, TuB03.20, TuB26.6, TuC26.3, TuC38-06.9, TuC38-06.14, TuC38-06.20, WeC36.5 |
| Guidance, navigation and control of aircraft and spacecraft | FrB02.2, FrB24.6, MoA02.18, MoA04.11, MoA28.3, MoA28.5, MoB27.1, MoB28.1, MoB28.2, MoB28.3, MoB28.4, MoC28.2, MoC28.3, MoC28.4, MoC28.5, MoC38-02.18, MoC38-06.11, ThA04.1, ThA04.4, ThA04.5, ThA04.6, ThA04.7, ThA04.8, ThA04.9, ThA04.10, ThA04.11, ThA04.12, ThA04.13, ThA05.4, ThA27.3, ThA27.4, ThA27.5, ThB27.3, ThB27.4, ThB27.5, ThB27.6, ThC27.1, ThC27.2, ThC27.4, ThC27.5, ThC27.6, ThC38-06.1, ThC38-06.4, ThC38-06.5, ThC38-06.6, ThC38-06.7, ThC38-06.8, ThC38-06.9, ThC38-06.10, ThC38-06.11, ThC38-06.12, ThC38-06.13, TuA26.2, TuA26.3, TuA26.4, TuB26.2, TuB26.3, TuB26.6, TuC26.2, TuC26.4, TuC26.5, TuC26.6, WeB05.1, WeB05.2, WeC05.8 |
| H | Top |
| Health aware control in processes | ThA21.3, WeB04.4, WeC38-05.4 |
| Health/condition monitoring in processes | MoB20.2, MoB20.4, MoB20.5, ThA20.4, ThB23.5, WeB04.12, WeB04.15, WeB21.5, WeC21.3, WeC38-05.12, WeC38-05.15 |
| Healthcare management, disease control, critical care | FrA25.4, FrA25.5, FrB01.1, FrB28.2, FrB28.6, MoB25.1, MoB25.4, MoB25.5, ThA25.6, ThC25.3, ThC25.4, ThC25.5, TuA25.1, TuA25.2, TuC25.3 |
| Hierarchical control | FrA19.2, FrA19.3, FrB17.2, FrB19.4, ThC19.2 |
| High-order backstepping | WeC03.4, WeC03.5 |
| High-order strict feedback systems | ThC03.1, TuC03.1, WeC03.4, WeC03.5 |
| High-performance motion control systems | FrA05.3, FrA05.7, FrA08.5, FrA31.3, FrA32.2, FrA32.5, FrA33.4, FrA34.1, FrA34.4, FrB33.5, MoA04.20, MoB04.8, MoB04.10, MoB04.11, MoB04.18, MoB05.4, MoC32.1, MoC32.2, MoC32.3, MoC32.4, MoC32.5, MoC38-06.20, MoC38-07.8, MoC38-07.10, MoC38-07.11, MoC38-07.18, ThA32.2, ThA32.3, ThA32.4, ThA33.1, ThB04.3, ThB04.12, ThB04.17, ThB04.23, ThB33.1, ThB33.4, ThC38-05.3, ThC38-05.12, ThC38-05.17, ThC38-05.23, TuA29.3, TuA32.2, TuA37.1, TuA37.2, TuA37.3, TuA37.4, TuA37.5, WeA03.10, WeA03.13, WeA32.1, WeA32.3, WeA32.4, WeA32.5, WeA32.6, WeB01.1, WeB32.1, WeB32.4, WeB32.5, WeC32.1, WeC38-02.10, WeC38-02.13 |
| Human AI integration | MoA05.2, ThA33.2 |
| Human centered automation | FrB34.1, MoC37.3, ThB04.24, ThC38-05.24 |
| Human factors in marine systems | ThB32.6 |
| Human machine cooperation & integration | FrA05.5, FrB34.2, MoA05.3, MoB04.2, MoB05.2, MoC37.3, MoC38-07.2, ThA32.6, ThB05.7, ThC34.1, ThC34.2, ThC34.3, ThC34.6 |
| Human machine safety | MoB04.1, MoB04.16, MoC38-07.1, MoC38-07.16, ThA33.2, ThC34.4 |
| Human machine teaming | MoB04.2, MoC38-07.2, ThB05.7 |
| Human mechatronics and human-machine interaction | MoB04.3, MoC38-07.3, ThA33.2, ThB04.24, ThC33.5, ThC35.1, ThC35.3, ThC38-05.24, WeC32.2 |
| Human task allocation | ThC07.3 |
| Human-centered production and logistics | FrB20.1, MoA22.6, ThC20.1, ThC20.2, ThC20.3, ThC20.4, ThC20.5, TuA19.1, TuB18.5, TuC19.3, TuC19.4 |
| Human-centric automation/AI Systems, and human agency | MoA02.4, MoA02.6, MoA02.8, MoA02.15, MoA05.1, MoA18.6, MoA34.6, MoA35.2, MoA35.4, MoA35.6, MoB34.2, MoB37.2, MoC34.1, MoC34.2, MoC34.4, MoC34.5, MoC38-02.4, MoC38-02.6, MoC38-02.8, MoC38-02.15, ThB36.6, ThC11.6, WeC18.6 |
| Human-robot interaction | FrB06.4, FrB32.1, FrB34.1, FrB34.2, FrB34.3, FrB34.4, FrB34.5, MoA02.12, MoA05.2, MoA05.3, MoA05.7, MoB04.3, MoB04.4, MoB04.16, MoB04.22, MoB05.2, MoB05.8, MoC38-02.12, MoC38-07.3, MoC38-07.4, MoC38-07.16, MoC38-07.22, ThA34.1, ThA34.2, ThA34.4, ThA34.5, ThB34.1, ThB34.2, ThB34.3, ThB34.4, ThC34.1, ThC34.5, ThC35.2, ThC35.5, ThC35.6, TuA32.3, WeA03.21, WeA03.22, WeA33.2, WeC19.5, WeC33.1, WeC38-02.21, WeC38-02.22 |
| Human-technology integration in manufacturing | FrA20.2, MoA05.4, MoA22.3, ThC20.2, ThC20.3, TuA02.3, TuA02.19, TuC18.4, TuC19.3, TuC19.4, TuC38-01.3, TuC38-01.19, WeA19.3, WeB18.1, WeB18.3, WeB18.4, WeC19.1, WeC19.2 |
| Humanoid and legged robots | FrB06.1, MoA32.1, MoA32.2, MoA32.3, MoA32.4, MoA32.5, MoA32.6, MoB04.5, MoB04.6, MoC38-07.5, MoC38-07.6, ThA34.1, ThA34.3, ThA35.4, WeA03.21, WeC38-02.21 |
| Hybrid and switched systems modeling | FrA06.2, MoA10.2, MoA10.5, MoB06.4, MoB10.1, MoB10.2, MoB10.3, MoB10.4, MoB10.5, MoB10.6, MoC01.2, MoC01.5, MoC07.5, MoC37.1, ThB03.14, ThB06.3, ThB10.6, ThC01.6, ThC09.3, ThC38-03.14, TuC07.5, TuC10.1, TuC10.5, WeB03.8, WeB03.16, WeB03.17, WeB07.2, WeB36.6, WeC09.3, WeC38-01.8, WeC38-01.16, WeC38-01.17 |
| Hybrid, electric and alternative drive vehicles | FrA30.1, MoA19.3, MoA26.4, MoB26.1, MoB26.5, ThA31.5, ThA31.6, ThB17.2, ThB31.1, ThB31.6, ThC02.3, ThC31.3, TuB03.10, TuB03.11, TuB03.12, TuC02.4, TuC38-06.10, TuC38-06.11, TuC38-06.12, WeC02.2 |
| Hydrogen systems for energy generation and storage | MoA03.18, MoA03.19, MoA03.20, MoA36.6, MoB36.4, MoC02.4, MoC38-04.18, MoC38-04.19, MoC38-04.20, ThA22.4, ThB22.3, TuA23.5, TuB20.5, WeB04.16, WeB22.4, WeC20.4, WeC21.3, WeC38-05.16 |
| Hydropower | MoA03.21, MoB36.5, MoC38-04.21, ThC22.5, WeB04.5, WeB04.9, WeC38-05.5, WeC38-05.9 |
| I | Top |
| Image analysis and computer vision in MMM systems | MoC20.1, TuC23.6 |
| Impulsive linear systems | WeA17.2 |
| Industrial and service applications of AI and intelligent automation | MoA35.3, MoB02.4, MoC33.1, MoC38-03.4, TuB36.3, TuC34.6, WeA37.2 |
| Industrial applications of chemical process control | FrA24.3, FrB06.2, MoB03.13, MoC38-05.13, ThB20.1, ThB23.3, ThB23.4, TuA20.2, TuA20.4, TuA23.2, TuB20.4, TuB23.2, TuB23.3, TuC23.2, TuC37.6, WeA20.1, WeA20.2, WeA20.5, WeA23.1, WeB04.17, WeC22.3, WeC38-05.17 |
| Industrial applications of process control | FrA23.6, FrA24.5, MoB03.3, MoB03.4, MoB03.5, MoB03.7, MoB03.10, MoB03.14, MoC38-05.3, MoC38-05.4, MoC38-05.5, MoC38-05.7, MoC38-05.10, MoC38-05.14, ThA23.5, ThB20.1, ThB22.4, TuA20.1, TuC20.4, TuC23.5, TuC37.3, TuC37.6, WeA10.1, WeA10.2, WeA10.4, WeA10.6, WeA20.2, WeA20.3, WeA20.5, WeB23.5 |
| Industrial artificial intelligence | FrA20.5, FrB17.2, FrB17.6, MoA05.4, MoA18.1, MoA18.2, MoA18.4, MoA18.5, MoA22.2, MoB18.1, MoB18.4, ThA06.3, ThA06.5, ThB18.2, TuA02.4, TuA19.2, TuA19.3, TuA19.5, TuA19.6, TuC18.2, TuC19.5, TuC38-01.4, WeA18.3, WeA18.4, WeA18.5, WeA19.1, WeB18.1, WeB18.2, WeB18.3, WeB18.5, WeC18.1, WeC18.4, WeC19.2, WeC19.3 |
| Industry X.0 for production and logistics | FrA17.4, MoA05.6, MoC35.3, MoC35.5, ThA06.3, ThB18.5, ThC20.1, TuA02.19, TuA19.4, TuB19.2, TuC38-01.19, WeA18.1, WeB19.3, WeC19.1, WeC19.2 |
| Industry-academia collaboration in control education | MoA02.5, MoA02.13, MoC38-02.5, MoC38-02.13, ThA37.1, ThA37.4, ThB36.4, TuB35.4 |
| Infinite-dimensional multi-agent systems and networks | FrA16.4, FrB16.5, ThA29.5, TuA17.3, TuB13.3, WeB17.2 |
| Information models for control engineering | MoB29.2, TuA03.7, TuA03.14, TuA03.21, TuC38-02.7, TuC38-02.14, TuC38-02.21 |
| Information processing and decision support in transportation | FrA26.4, MoA19.5, MoB03.23, MoC38-05.23, ThA04.14, ThA04.15, ThA30.1, ThB29.2, ThB29.5, ThB29.6, ThB30.2, ThC02.5, ThC29.1, ThC38-06.14, ThC38-06.15 |
| Integrated assessment modeling | WeB24.2, WeB24.3 |
| Integration of ML/AI for control of DPS | FrA16.3, FrB13.4, ThC16.3 |
| Intelligent human-machine interaction | ThB20.6, TuA03.12, TuA03.13, TuA03.14, TuA03.20, TuC33.2, TuC38-02.12, TuC38-02.13, TuC38-02.14, TuC38-02.20, WeC34.5 |
| Intelligent manufacturing systems | FrA20.1, FrA20.2, FrA20.5, FrB17.2, FrB20.1, MoA22.2, MoB18.1, MoC18.2, MoC18.3, MoC18.5, ThA06.3, ThA06.5, ThA18.5, TuA02.2, TuA02.5, TuA02.6, TuA18.3, TuA18.6, TuA19.2, TuB18.2, TuB19.1, TuB19.5, TuC18.5, TuC38-01.2, TuC38-01.5, TuC38-01.6, WeA18.2, WeA18.3, WeA18.4, WeA18.5, WeA19.1, WeB18.1, WeB18.4, WeB18.5 |
| Intelligent transportation systems | MoA04.2, MoA26.5, MoA29.4, MoB03.23, MoB26.2, MoB26.5, MoC29.4, MoC29.5, MoC38-05.23, MoC38-06.2, ThA04.15, ThA04.16, ThA04.17, ThA04.18, ThB28.2, ThB29.6, ThB30.2, ThB30.3, ThB30.6, ThC02.5, ThC29.4, ThC29.6, ThC30.6, ThC38-06.15, ThC38-06.16, ThC38-06.17, ThC38-06.18, TuC02.5, WeA26.2, WeA26.4, WeA26.6, WeA36.3, WeA36.5, WeA36.6, WeB36.5, WeC02.5, WeC26.3, WeC26.6 |
| Intensive and chronic care or treatment | FrB01.1, FrB22.4, FrB28.1, MoB25.5, ThB25.1, TuB25.5 |
| Interaction between design and control in processes | ThC23.2, ThC23.4, TuA23.1, WeA20.3 |
| Interconnected city networks | ThA10.6 |
| Interconnected dynamical systems | FrA19.1, FrA19.3, FrB19.1, FrB19.2, FrB19.5, FrB19.6, ThA19.5, ThA19.6, ThB19.1, ThB19.2, ThC19.1, ThC19.2, ThC19.3, ThC19.4, TuC19.2, WeA19.4 |
| Interconnected nonlinear systems | MoA15.1, MoA15.3, MoA15.5, MoA15.6, ThA16.2, ThB13.2, TuB17.6, WeB02.20, WeC13.4, WeC38-04.20 |
| Internationalization of control education | TuA35.4, WeC38-07.10 |
| Internet based control education | FrA31.2, FrB31.3, MoA02.5, MoA11.6, MoC38-02.5, ThA37.2, ThB37.4, TuB35.2, TuB35.5, TuC35.2, TuC35.3, TuC35.5, WeC38-07.3 |
| Internet-of-things and sensing enterprise | WeC18.2 |
| IoT for cities | FrB21.5, ThA10.5 |
| IT/OT-security in automation systems | MoA23.4, MoB23.1, TuA03.15, TuA03.16, TuC38-02.15, TuC38-02.16 |
| Iterative and repetitive learning control | FrA09.4, FrA10.1, FrA10.2, FrA10.3, FrA10.4, FrA10.5, FrA10.6, FrB10.1, FrB10.2, FrB10.3, FrB10.4, FrB10.5, FrB10.6, MoA08.4, ThA09.3, ThB03.8, ThC38-03.8, TuB08.2 |
| K | Top |
| K-21 and iCDIOS for control education | ThB37.1 |
| Kalman filtering | FrA07.4, FrB07.5, MoB06.5, MoC01.3, MoC09.4, MoC09.5, ThA02.3, ThA02.5, ThA07.3, ThA09.4, ThA10.2, ThA30.2, ThA30.5, ThB02.13, ThB03.24, ThC09.4, ThC38-01.3, ThC38-01.5, ThC38-02.13, ThC38-03.24, TuB08.3, TuC09.3, TuC09.5, TuC37.5, WeA09.2, WeB07.6, WeB08.2, WeB08.5, WeB09.2, WeB09.3, WeB09.5, WeB10.1, WeB10.2, WeB10.3, WeB10.4, WeB10.5, WeB10.6, WeC01.1, WeC10.1, WeC10.2, WeC10.3, WeC10.4, WeC10.5 |
| Kalman filtering techniques in automotive control | FrA26.4, FrA30.6, MoA28.4, MoC29.2, MoC29.4, TuB03.13, TuB03.14, TuB03.15, TuB03.16, TuC02.2, TuC38-06.13, TuC38-06.14, TuC38-06.15, TuC38-06.16 |
| Kinetic modelling, analysis and optimization of metabolism | FrB06.6, MoB24.4, MoC24.2, MoC25.2, MoC25.4, MoC25.5, WeB25.4 |
| Knowledge automation | TuA34.3, TuA34.5, TuB36.4, TuB36.6, WeA37.1, WeB31.2, WeB31.3, WeB31.4, WeC31.4 |
| Knowledge-based and data-driven control | MoB11.4, MoB23.2, TuA02.10, TuA02.14, TuA02.15, TuA03.2, TuA03.3, TuA03.8, TuA03.11, TuA03.17, TuA03.18, TuA33.2, TuA33.3, TuA33.5, TuB33.2, TuB33.6, TuC33.2, TuC38-01.10, TuC38-01.14, TuC38-01.15, TuC38-02.2, TuC38-02.3, TuC38-02.8, TuC38-02.11, TuC38-02.17, TuC38-02.18, WeA05.6, WeB34.5 |
| L | Top |
| Lagrangian and Hamiltonian systems | FrB14.6, MoA17.1, MoB15.3, MoB17.1, MoB17.2, MoB17.3, MoB17.4, MoB17.5, MoB17.6, ThA16.2, ThA16.3, ThA16.4, ThA16.5, TuA16.3, TuB13.4, WeA04.5, WeB05.3, WeB16.2, WeC38-06.5 |
| Large-scale and networked optimization problems | FrB05.6, MoC14.1, ThA29.1, TuA04.11, TuA05.4, TuC38-04.11, WeA04.10, WeA13.5, WeC38-06.10 |
| Large-scale complex systems | FrA19.1, FrA19.4, FrA19.5, FrA19.6, FrA20.4, FrB19.1, FrB19.2, FrB19.3, FrB19.4, FrB19.5, FrB19.6, MoC19.4, ThB19.3, ThB19.4, ThC19.1, ThC19.4, ThC19.5, TuA02.7, TuB19.2, TuC38-01.7, WeA19.4 |
| Learning and adaptation in autonomous vehicles | FrA26.6, MoA19.4, MoA29.1, MoA29.2, MoA29.3, MoA29.4, MoA29.5, MoA29.6, MoC29.1, ThA04.2, ThB28.1, ThC02.1, ThC28.4, ThC38-06.2, TuB03.5, TuB03.9, TuC27.3, TuC38-06.5, TuC38-06.9, WeA36.2, WeB26.4, WeC02.6 |
| Learning methods for control | FrA09.3, FrA10.2, FrA10.6, FrB05.2, FrB07.1, FrB10.6, MoA01.20, MoA04.3, MoA04.4, MoA06.6, MoA08.1, MoA08.5, MoB08.5, MoB10.3, MoC06.1, MoC06.4, MoC08.1, MoC08.2, MoC08.3, MoC08.4, MoC08.5, MoC08.6, MoC38-01.20, MoC38-06.3, MoC38-06.4, ThA02.6, ThA02.7, ThA02.19, ThA05.7, ThA06.4, ThA08.4, ThA08.5, ThA09.1, ThA09.3, ThA09.5, ThB03.8, ThB03.9, ThB03.19, ThB09.3, ThC05.6, ThC06.2, ThC06.4, ThC08.1, ThC08.3, ThC38-01.6, ThC38-01.7, ThC38-01.19, ThC38-03.8, ThC38-03.9, ThC38-03.19, TuA06.1, TuB03.24, TuB06.1, TuB09.3, TuC05.3, TuC05.4, TuC06.2, TuC07.3, TuC09.4, TuC09.6, TuC38-06.24, WeA06.1, WeA06.3, WeA06.4, WeB03.3, WeB03.9, WeB03.10, WeB06.4, WeB08.3, WeC06.2, WeC06.3, WeC06.5, WeC09.1, WeC10.2, WeC38-01.3, WeC38-01.9, WeC38-01.10 |
| Learning methods for optimal control | FrA13.2, FrB01.2, FrB13.2, FrB13.3, FrB13.6, MoA14.1, MoA14.2, MoA14.3, MoB13.2, MoB14.1, MoB14.2, MoB14.3, MoB14.4, MoB14.5, MoB14.6, MoB16.1, MoC13.3, MoC14.1, MoC14.2, MoC14.3, MoC14.4, MoC14.6, MoNSP1.1, ThA05.3, ThA29.3, ThB05.2, ThB14.6, ThC05.1, TuA04.1, TuA04.12, TuA04.13, TuA04.14, TuA04.15, TuA14.1, TuA14.2, TuA14.3, TuA14.4, TuA14.5, TuA14.6, TuA17.2, TuB14.1, TuB14.2, TuB14.3, TuB14.4, TuB14.5, TuB15.4, TuB32.2, TuC38-04.1, TuC38-04.12, TuC38-04.13, TuC38-04.14, TuC38-04.15, WeA02.14, WeA02.23, WeA04.18, WeA04.24, WeA14.2, WeA14.3, WeA15.5, WeC13.2, WeC14.1, WeC14.5, WeC38-03.14, WeC38-03.23, WeC38-06.18, WeC38-06.24 |
| Life cycle analysis/assessment for biosystems | FrB25.6 |
| Life cycle assessment for energy systems | MoB36.3, WeB05.6 |
| Linear fractional-order systems | FrB15.1, FrB15.2, FrB15.3, FrB15.4, FrB15.5, FrB15.6, TuA15.1, TuA15.3, TuA15.4, TuA15.6, TuC15.4 |
| Linear functional systems | WeA17.3, WeA17.5 |
| Linear parameter-varying systems | MoA04.17, MoA16.1, MoA16.2, MoC15.3, MoC38-06.17, ThB15.1, ThC05.2, TuB04.1, TuB16.5, TuC38-05.1, WeA15.1, WeA15.2, WeA15.3, WeA15.4, WeA15.5, WeA16.1, WeB02.13, WeB16.3, WeC17.6, WeC38-04.13 |
| Linear system identification | FrA06.5, FrA07.1, FrA07.4, FrA08.1, FrA09.5, MoA09.1, MoA09.2, MoA09.3, MoA09.4, MoA09.5, MoA09.6, MoB09.1, MoB09.2, MoB09.3, MoB09.4, MoB09.5, MoB09.6, MoC05.1, MoC06.2, MoC06.3, ThA02.1, ThA02.2, ThA02.3, ThA02.4, ThA02.5, ThA02.6, ThA02.7, ThA02.8, ThA02.9, ThA02.10, ThA02.16, ThA02.22, ThA02.23, ThA06.6, ThB03.1, ThB03.10, ThB03.11, ThB03.12, ThB03.13, ThB07.3, ThB09.6, ThC05.3, ThC06.2, ThC06.3, ThC09.5, ThC38-01.1, ThC38-01.2, ThC38-01.3, ThC38-01.4, ThC38-01.5, ThC38-01.6, ThC38-01.7, ThC38-01.8, ThC38-01.9, ThC38-01.10, ThC38-01.16, ThC38-01.22, ThC38-01.23, ThC38-03.1, ThC38-03.10, ThC38-03.11, ThC38-03.12, ThC38-03.13, TuA06.2, TuA06.6, TuB01.1, TuB01.2, TuB01.3, TuB01.4, TuB01.5, TuB01.6, TuB01.7, TuC06.1, TuC06.4, TuC08.2, WeA01.1, WeA01.2, WeA01.4, WeA03.17, WeA03.18, WeA03.19, WeA09.3, WeB03.14, WeC06.3, WeC07.2, WeC38-01.14, WeC38-02.17, WeC38-02.18, WeC38-02.19 |
| Linear systems | FrA16.1, FrB15.1, FrB15.2, FrB15.3, FrB15.4, FrB15.6, MoA02.3, MoA13.3, MoA13.5, MoA14.1, MoB16.4, MoB19.5, MoC15.2, MoC15.5, MoC17.4, MoC38-02.3, ThA14.3, ThB05.4, ThB05.5, ThB05.6, ThB13.2, ThB15.4, ThB16.3, ThC05.2, ThC05.4, ThC14.1, ThC14.2, ThC14.3, ThC14.4, ThC14.5, ThC14.6, ThC15.2, ThC15.6, TuA04.5, TuA04.16, TuA04.17, TuA04.18, TuA04.19, TuA04.20, TuA04.21, TuA13.4, TuA15.1, TuA15.4, TuA16.1, TuB02.21, TuB04.17, TuB16.2, TuB16.3, TuB16.4, TuC13.4, TuC15.1, TuC15.2, TuC15.3, TuC15.4, TuC15.5, TuC16.3, TuC38-03.21, TuC38-04.5, TuC38-04.16, TuC38-04.17, TuC38-04.18, TuC38-04.19, TuC38-04.20, TuC38-04.21, TuC38-05.17, WeA04.3, WeA04.9, WeA04.16, WeA04.23, WeA15.6, WeA16.1, WeA17.1, WeB02.2, WeB02.12, WeB13.5, WeB13.6, WeB14.4, WeB14.5, WeB17.6, WeC37.4, WeC38-04.2, WeC38-04.12, WeC38-06.3, WeC38-06.9, WeC38-06.16, WeC38-06.23 |
| Linear time-delay systems | FrA02.2, MoA04.17, MoC38-06.17, ThA17.2, ThA17.6, TuA04.18, TuA04.22, TuA15.1, TuB04.7, TuC05.5, TuC38-04.18, TuC38-04.22, TuC38-05.7, WeA04.18, WeA17.1, WeA17.2, WeA17.3, WeA17.4, WeB17.1, WeB17.2, WeB17.3, WeB17.4, WeB17.5, WeB17.6, WeC17.1, WeC17.6, WeC38-06.18 |
| LLM-enhanced human-in-the-loop | ThA01.5, ThC04.2 |
| LLMs for control education and knowledge transfer | ThC04.2 |
| LLMs for modeling and control | FrA04.2, FrA04.3, FrA04.4, FrA04.5, FrA04.6, ThA01.5, ThC04.3, ThC04.4, WeB03.22, WeC38-01.22 |
| Logistics and warehouse management | FrA17.5, FrB20.2, MoA22.4, ThB18.5, ThC20.5, WeB19.1, WeB19.2 |
| Low-altitude economy | MoA02.1, MoB33.2, MoB33.3, MoB33.4, MoC33.2, MoC33.3, MoC33.4, MoC33.5, MoC33.6, MoC38-02.1, TuC34.3 |
| Lyapunov methods | FrB15.5, MoA15.3, MoA15.4, MoA16.4, MoA16.5, MoB15.1, MoB15.2, MoB15.4, MoB15.5, MoB15.6, MoB16.5, MoC16.1, MoC16.2, MoC16.6, MoC37.2, ThA05.8, ThA14.6, ThA16.5, ThA17.1, ThB13.1, ThB13.2, ThB13.3, ThB15.1, ThC13.6, ThC15.4, TuA13.1, TuA17.5, TuB02.3, TuB02.4, TuB02.6, TuB02.8, TuB02.15, TuB02.18, TuB04.24, TuB13.5, TuB16.2, TuB16.3, TuB17.5, TuB17.6, TuC05.6, TuC14.2, TuC14.6, TuC16.4, TuC16.6, TuC38-03.3, TuC38-03.4, TuC38-03.6, TuC38-03.8, TuC38-03.15, TuC38-03.18, TuC38-05.24, WeA02.19, WeA02.20, WeA15.2, WeA16.2, WeA16.3, WeA16.4, WeA16.5, WeA17.3, WeA17.4, WeB02.22, WeB14.5, WeB15.1, WeB15.2, WeB16.6, WeB23.6, WeC14.2, WeC14.3, WeC15.5, WeC15.6, WeC38-03.19, WeC38-03.20, WeC38-04.22 |
| M | Top |
| Machine and deep learning for system identification | FrA09.2, FrA09.6, FrB08.3, FrB09.1, FrB09.2, FrB09.3, FrB09.5, MoB10.3, MoC01.5, MoC05.3, MoC08.5, ThA02.9, ThA02.11, ThA02.17, ThA02.18, ThA02.19, ThA08.2, ThA09.1, ThA09.2, ThA09.3, ThA09.4, ThA09.5, ThA09.6, ThB03.2, ThB03.9, ThB03.10, ThB03.11, ThB03.12, ThB03.13, ThB03.18, ThB03.22, ThB08.2, ThB08.3, ThB08.4, ThB09.4, ThC05.6, ThC38-01.9, ThC38-01.11, ThC38-01.17, ThC38-01.18, ThC38-01.19, ThC38-03.2, ThC38-03.9, ThC38-03.10, ThC38-03.11, ThC38-03.12, ThC38-03.13, ThC38-03.18, ThC38-03.22, TuA06.1, TuB05.6, TuB06.4, TuC09.6, WeA03.20, WeA06.3, WeA06.4, WeA09.5, WeB08.6, WeB09.2, WeC06.4, WeC06.5, WeC09.1, WeC10.5, WeC38-02.20 |
| Machine learning and artificial intelligence in chemical process control | FrA23.1, FrA23.2, FrA23.3, FrA23.4, FrA24.4, FrA30.2, FrB02.1, FrB06.3, FrB23.4, MoB03.9, MoB03.11, MoB03.15, MoB03.17, MoB03.18, MoC20.5, MoC26.6, MoC38-05.9, MoC38-05.11, MoC38-05.15, MoC38-05.17, MoC38-05.18, ThA20.1, ThA20.4, ThA20.5, ThA23.1, ThA23.2, ThA23.3, ThB20.3, ThB23.1, ThB23.3, ThB23.4, ThC23.1, ThC23.2, ThC23.3, ThC23.4, TuA23.1, TuA23.2, TuA23.3, TuA23.4, TuA23.5, TuB20.1, TuB20.5, TuC21.6, TuC23.2, TuC23.3, TuC23.5, TuC37.2, WeA20.4, WeA20.6, WeA23.1, WeA23.2, WeA23.3, WeA23.5, WeB04.18, WeB20.2, WeB20.3, WeB20.4, WeB23.1, WeB23.2, WeB23.4, WeC20.3, WeC20.5, WeC22.3, WeC22.5, WeC38-05.18 |
| Machine learning and artificial intelligence in MMM process control | MoC20.1, ThA23.1, ThA23.3, ThA23.5, TuC23.3, TuC23.6, TuC37.3 |
| Machine learning for modeling and prediction | MoB11.2, MoB11.6, TuA02.11, TuA02.16, TuA03.2, TuA03.3, TuA03.4, TuA03.17, TuA03.19, TuA03.20, TuB33.1, TuB33.2, TuB33.3, TuB33.5, TuB33.6, TuC33.1, TuC33.2, TuC33.3, TuC33.4, TuC33.5, TuC33.6, TuC38-01.11, TuC38-01.16, TuC38-02.2, TuC38-02.3, TuC38-02.4, TuC38-02.17, TuC38-02.19, TuC38-02.20, WeB34.3, WeB34.4, WeB34.5 |
| Maintenance engineering, management and services | FrB17.3, FrB17.6, MoA05.5, MoA05.6, MoB18.2, MoB18.3, MoB18.4, MoB18.5, TuA19.6, TuB18.3, WeB18.3 |
| Manufacturing engineering and management | FrA20.4, FrB17.5, FrB20.2, TuA02.8, TuA19.1, TuA19.3, TuC18.4, TuC18.6, TuC19.3, TuC38-01.8, WeA18.1, WeA18.2, WeB18.4, WeC18.3, WeC18.4 |
| Manufacturing plant simulation, control and optimization | FrA17.3, FrA20.4, MoA05.6, MoC18.2, MoC19.2, ThC20.2, TuA02.4, TuA02.7, TuA02.8, TuA18.1, TuA18.4, TuB18.2, TuB18.4, TuC18.1, TuC18.2, TuC18.3, TuC38-01.4, TuC38-01.7, TuC38-01.8, WeA18.3, WeB18.2, WeC19.3 |
| Manufacturing prognostics and health management | MoA18.1, MoA18.2, MoA18.3, MoA18.4, MoA18.5, MoB18.1, MoB18.2, MoB18.3, MoB18.4, MoB18.5, MoC19.2, MoC19.3, TuA19.6, TuB18.3, TuB18.6, WeC18.5 |
| Marine renewable energy systems | ThA03.12, ThA26.1, ThC38-04.12, TuA27.1, TuA27.2, TuA27.3, TuA27.4, TuA27.5, WeB02.23, WeB27.1, WeB27.2, WeB27.3, WeB27.4, WeB27.5, WeB27.6, WeC27.1, WeC27.2, WeC27.3, WeC27.4, WeC38-04.23 |
| Marine robotics | MoA27.1, MoA27.2, MoA27.3, MoB27.2, ThA03.3, ThA03.14, ThA03.17, ThB26.1, ThB26.2, ThB26.5, ThB26.6, ThB29.3, ThC26.4, ThC32.3, ThC32.5, ThC38-04.3, ThC38-04.14, ThC38-04.17, TuA27.5, TuA27.6, WeA03.23, WeA27.4, WeC38-02.23 |
| Marine system guidance, navigation and control | FrA27.6, FrB26.3, FrB26.5, MoA04.15, MoA27.3, MoA27.4, MoB27.4, MoC27.1, MoC27.2, MoC27.3, MoC27.4, MoC38-06.15, ThA03.3, ThA03.4, ThA03.5, ThA03.6, ThA03.7, ThA03.13, ThA03.14, ThA03.15, ThA26.3, ThA26.5, ThB26.1, ThB26.2, ThB26.3, ThB26.4, ThB26.5, ThB26.6, ThC07.5, ThC26.3, ThC32.1, ThC32.2, ThC32.3, ThC32.4, ThC32.5, ThC38-04.3, ThC38-04.4, ThC38-04.5, ThC38-04.6, ThC38-04.7, ThC38-04.13, ThC38-04.14, ThC38-04.15, TuA27.6, TuC27.1, TuC27.2, WeA27.4, WeA27.5, WeB27.5, WeC27.3 |
| Maritime transport operation and automation | FrB26.6, MoB27.4, MoC27.4, TuB27.1, WeA27.3 |
| Markov decision process | FrB05.2, MoA10.4, MoB03.22, MoC38-05.22, ThA10.4, ThB06.1, TuA09.1, TuA09.2, TuA09.3, TuA09.4, TuA09.5, TuA09.6, TuA10.3, TuC05.7, WeB03.9, WeB08.1, WeC38-01.9 |
| Max-plus algebra | ThC10.2 |
| Measurement while drilling | MoC20.2 |
| Mechatronic system estimation, identification, control | FrA30.3, FrA32.1, FrA32.2, FrA32.3, FrA32.6, FrA33.1, FrA33.2, FrA33.3, FrA33.4, FrA33.5, FrA33.6, FrA34.1, FrA34.2, FrA34.3, FrA34.5, FrA34.6, FrB33.1, FrB33.2, FrB33.3, FrB33.4, FrB33.5, MoA32.5, MoA32.6, MoB04.1, MoB04.4, MoB04.7, MoB04.8, MoB04.9, MoB04.10, MoB04.11, MoB04.12, MoB04.13, MoB04.14, MoB04.19, MoB04.20, MoB05.3, MoC32.2, MoC32.3, MoC32.4, MoC32.5, MoC38-07.1, MoC38-07.4, MoC38-07.7, MoC38-07.8, MoC38-07.9, MoC38-07.10, MoC38-07.11, MoC38-07.12, MoC38-07.13, MoC38-07.14, MoC38-07.19, MoC38-07.20, ThA32.1, ThA33.1, ThA33.6, ThA35.1, ThA35.5, ThB04.4, ThB32.2, ThB32.3, ThB33.1, ThB33.2, ThB35.2, ThB35.3, ThB35.6, ThC33.2, ThC35.2, ThC38-05.4, TuA29.2, TuA29.3, TuA29.5, TuA32.4, TuA37.2, TuA37.4, TuA37.5, TuB32.1, TuC37.4, WeA03.1, WeA03.7, WeA32.4, WeA32.5, WeA32.6, WeA35.2, WeA35.4, WeA35.5, WeA35.6, WeB32.2, WeB32.3, WeB32.4, WeB32.5, WeB32.6, WeB33.5, WeC16.2, WeC32.1, WeC32.2, WeC32.4, WeC32.5, WeC33.1, WeC33.5, WeC38-02.1, WeC38-02.7 |
| Mechatronic system fault detection, diagnostics, hardware-in-the-loop simulation | FrA34.3, MoB04.15, MoB04.16, MoB04.17, MoB04.20, MoC38-07.15, MoC38-07.16, MoC38-07.17, MoC38-07.20, ThA33.3, ThA35.1, TuA29.4, WeB32.6 |
| Mechatronic system integration | FrB32.4, FrB33.2, MoB05.2, MoB05.7, ThB04.12, ThB33.1, ThB33.2, ThB33.3, ThC33.4, ThC38-05.12, WeA32.1, WeA35.1, WeA35.3, WeB32.1, WeB32.3, WeC05.5, WeC32.3 |
| Mechatronic system modeling, design, optimization | FrA31.3, FrA32.1, FrA32.3, FrA32.4, FrA32.6, FrA33.5, FrA33.6, FrA34.4, FrB32.2, MoB04.1, MoB04.5, MoB04.6, MoB04.11, MoB04.12, MoB04.13, MoB04.17, MoB04.18, MoB04.19, MoB04.20, MoB04.21, MoB05.1, MoB32.2, MoC32.4, MoC32.5, MoC38-07.1, MoC38-07.5, MoC38-07.6, MoC38-07.11, MoC38-07.12, MoC38-07.13, MoC38-07.17, MoC38-07.18, MoC38-07.19, MoC38-07.20, MoC38-07.21, ThA32.2, ThA32.5, ThA33.4, ThA35.2, ThA35.5, ThB04.3, ThB32.3, ThB32.4, ThB33.2, ThB33.4, ThB33.5, ThB33.6, ThB35.2, ThB35.3, ThB35.4, ThC33.3, ThC33.6, ThC38-05.3, TuA29.4, TuA29.5, TuA37.2, TuA37.5, TuB32.6, WeA03.1, WeA03.13, WeA03.14, WeA32.1, WeA32.4, WeA35.1, WeA35.3, WeA35.4, WeB05.4, WeB32.1, WeB32.2, WeC16.2, WeC32.4, WeC32.5, WeC38-02.1, WeC38-02.13, WeC38-02.14 |
| Mechatronics for advanced manufacturing and energy systems | FrA30.3, FrB33.1, ThB33.4, ThC33.5, TuA29.5, WeA03.7, WeA35.6, WeC38-02.7 |
| Mechatronics for mobility systems | FrA33.3, FrA34.3, FrB33.2, MoB04.18, MoB05.4, MoC38-07.18, ThB33.5, ThC33.2, ThC33.3, TuA30.6, TuC37.4 |
| Mechatronics for robotic systems | FrA32.2, FrA32.3, FrA32.4, FrA32.5, FrA33.4, FrA34.2, FrA34.4, FrA34.6, FrB32.3, FrB32.4, FrB32.6, FrB33.3, MoB04.13, MoB04.14, MoB04.17, MoB04.21, MoB05.5, MoB05.7, MoB32.2, MoC38-07.13, MoC38-07.14, MoC38-07.17, MoC38-07.21, ThA33.4, ThA34.3, ThA34.4, ThA35.4, ThB04.24, ThB32.1, ThB33.3, ThB33.6, ThC33.4, ThC33.5, ThC33.6, ThC38-05.24, TuA29.4, TuB32.5, TuC32.6, WeB05.4, WeC32.3, WeC33.2 |
| Medical and rehabilitation robotics | FrA32.4, FrB32.2, FrB32.3, FrB32.4, FrB32.5, MoA02.12, MoB04.6, MoB04.22, MoB05.6, MoB05.7, MoB05.8, MoC38-02.12, MoC38-07.6, MoC38-07.22, ThB35.4, ThC33.6, ThC35.1, ThC35.3, ThC35.4, WeA03.3, WeA03.22, WeC38-02.3, WeC38-02.22 |
| Medical devices, systems and solutions | FrA22.2, FrA22.3, FrA22.4, FrA25.1, FrA25.4, FrA25.5, FrA25.6, FrA28.2, FrB22.1, FrB28.3, MoB02.13, MoB02.14, MoC38-03.13, MoC38-03.14, ThB25.4, ThB25.5, ThC25.5, TuA24.1, TuB25.1, TuC24.5, TuC24.6, TuC25.3 |
| Mentoring in control engineering | MoA33.3, MoC33.4, ThA37.5, ThB37.1, TuC17.3, WeB01.1, WeC38-07.2, WeC38-07.3, WeC38-07.10 |
| Micro and nano mechatronic systems | FrA31.3, FrA32.5, MoB05.6, ThA33.1, ThA33.6, ThC33.1, ThC33.4, TuA37.3, TuA37.4, WeA32.2, WeA32.3, WeB32.5 |
| Microalgae production processes and bioenergy | TuB24.1, TuB24.2, TuB24.3, TuB24.4, TuB24.5, TuB24.6 |
| Mission planning and decision making for AVs | FrA26.3, FrB27.1, FrB27.2, FrB27.3, FrB27.4, FrB27.5, FrB27.6, MoC28.1, ThA04.20, ThA27.6, ThC02.1, ThC28.3, ThC30.6, ThC38-06.20, TuC27.6, WeC26.4 |
| MMM process modeling, identification, and estimation techniques | MoB03.2, MoC20.3, MoC20.4, MoC38-05.2, ThA23.5 |
| Model driven engineering of control systems | FrA14.6, FrB05.1, FrB31.2, MoB11.6, ThA20.6, ThC23.6, TuA03.21, TuB33.4, TuC38-02.21 |
| Model predictive control | FrA13.1, FrA13.2, FrA13.6, FrA31.4, FrB02.6, MoA13.1, MoA13.2, MoA13.3, MoA13.4, MoA13.5, MoA13.6, MoB13.1, MoB13.2, MoB13.3, MoB13.4, MoB13.5, MoB13.6, MoB14.1, MoB14.3, MoB14.4, MoC13.1, MoC13.2, MoC13.3, MoC13.4, MoC13.5, MoC13.6, MoC14.2, MoC14.3, MoC14.4, MoC14.5, MoC14.6, MoC16.1, ThC13.2, ThC17.3, ThC17.5, TuA02.20, TuA05.1, TuA05.3, TuA05.4, TuA05.5, TuA05.6, TuA13.5, TuA14.4, TuB04.7, TuB04.8, TuB04.9, TuB04.10, TuB04.11, TuB04.12, TuB04.13, TuB04.14, TuB04.15, TuB14.3, TuB14.4, TuB14.5, TuB32.2, TuC13.1, TuC13.3, TuC38-01.20, TuC38-05.7, TuC38-05.8, TuC38-05.9, TuC38-05.10, TuC38-05.11, TuC38-05.12, TuC38-05.13, TuC38-05.14, TuC38-05.15, TuNSP1.1, WeA02.13, WeA13.4, WeA14.1, WeA14.2, WeA14.3, WeA14.4, WeB02.13, WeB13.1, WeB13.2, WeB13.4, WeB14.3, WeB17.3, WeC13.4, WeC13.5, WeC14.1, WeC38-03.13, WeC38-04.13 |
| Model predictive control of hybrid systems | MoA10.1, ThA13.4, ThB03.20, ThB06.5, ThC38-03.20, TuA05.2 |
| Model reduction of distributed parameter systems | FrA16.2, ThB16.4, ThB16.5, ThB16.6, WeA04.12, WeC17.2, WeC38-06.12 |
| Model reference adaptive control | FrA06.5, FrA06.6, FrA08.1, FrB07.1, MoA08.6, MoC05.2, MoC37.1, ThA03.1, ThA03.23, ThC38-04.1, ThC38-04.23, TuA08.1 |
| Model validation | FrB01.3, MoC17.6, ThC17.4, TuB02.22, TuB04.16, TuB04.17, TuC38-03.22, TuC38-05.16, TuC38-05.17, WeA02.14, WeA14.5, WeA14.6, WeC38-03.14 |
| Model-driven enterprise-system engineering | FrA20.2, MoC19.2, MoC19.3, TuA02.1, TuA02.9, TuC19.5, TuC38-01.1, TuC38-01.9 |
| Model-predictive and optimization-based control in chemical processes | FrA23.1, FrA23.2, FrB01.4, FrB02.1, FrB23.1, FrB23.5, MoB03.3, MoB03.4, MoB03.5, MoB03.12, MoB03.13, MoB03.14, MoC38-05.3, MoC38-05.4, MoC38-05.5, MoC38-05.12, MoC38-05.13, MoC38-05.14, ThA23.4, ThC23.3, TuA20.1, TuA20.2, TuA20.3, TuA20.4, TuA23.4, TuB20.1, TuB20.2, TuB20.3, TuB20.4, TuB23.1, TuB23.6, WeA23.3, WeB20.1, WeB20.2, WeB22.1, WeB22.2, WeB22.4, WeB22.5, WeC20.3, WeC20.4, WeC22.1, WeC22.4, WeC22.5, WeC37.5 |
| Modeling and control in mechanical ventilation | FrA22.1, FrA22.3, FrB22.1, FrB22.2, FrB22.3, FrB22.4, FrB28.4, FrB28.5, FrB28.6, MoB25.6 |
| Modeling and estimation in agriculture | MoA24.3, MoB02.16, MoC38-03.16, ThA24.1, ThA24.3, ThA24.4, ThA24.6, ThB24.1, ThB24.3, ThC24.1, ThC24.3, ThC24.4, ThC24.5, WeA09.4, WeA24.3, WeA24.4 |
| Modeling and identification of environmental systems | WeA24.5, WeC09.2, WeC24.3, WeC24.5, WeC24.6 |
| Modeling and simulation of transportation systems | MoA04.7, MoA19.5, MoA26.3, MoA27.5, MoA36.1, MoB29.1, MoC38-06.7, ThA04.17, ThA04.18, ThA13.5, ThA13.6, ThA31.6, ThB29.2, ThB30.3, ThC29.1, ThC29.2, ThC29.4, ThC29.5, ThC29.6, ThC38-06.17, ThC38-06.18, TuA26.5, TuB03.23, TuC38-06.23, WeC05.3 |
| Modeling, supervision, control and diagnosis of automotive systems | FrB02.3, MoA04.18, MoA19.3, MoA19.6, MoA36.1, MoC38-06.18, ThA30.1, ThA31.1, ThB17.4, ThB30.4, ThB31.2, TuA04.24, TuB03.7, TuB03.10, TuB03.17, TuB03.18, TuC38-04.24, TuC38-06.7, TuC38-06.10, TuC38-06.17, TuC38-06.18, WeC02.6, WeC36.1 |
| Modelling and control of microbial communities | MoC24.6, TuB24.6, WeA25.5, WeB25.5, WeB25.6 |
| Modelling, identification and control in marine systems | MoB27.3, ThA03.6, ThA03.7, ThA03.12, ThA03.16, ThA03.17, ThA26.1, ThA26.2, ThA26.3, ThA26.4, ThA26.5, ThC32.4, ThC32.5, ThC38-04.6, ThC38-04.7, ThC38-04.12, ThC38-04.16, ThC38-04.17, TuA27.1, TuA27.2, TuA27.4, TuB27.1, TuB27.2, TuB27.3, TuB27.5, TuC27.4, TuC27.5, WeA27.1, WeA27.2, WeA27.5, WeB02.23, WeB27.1, WeB27.2, WeB27.3, WeB27.5, WeB27.6, WeC27.1, WeC27.2, WeC27.3, WeC27.4, WeC27.5, WeC38-04.23 |
| Modelling, parameter identification and state estimation in biosystems | FrB06.6, MoB24.1, MoB24.3, MoB24.5, MoB24.6, MoB25.2, MoC24.3, MoC24.4, MoC24.6, MoC25.1, MoC25.2, MoC25.3, MoC25.4, MoC25.6, TuA24.3, TuB24.2, WeA25.4, WeB24.5, WeB25.2, WeB25.3 |
| Models & simulation for international stability | WeB35.6 |
| Monitoring, observers and software sensors for biosystems | MoB24.5, MoB24.6, TuB24.5 |
| Monitoring, performance assessment, and fault detection in chemical process control | FrA24.1, FrA24.2, FrA24.3, FrA24.4, FrA30.2, FrB06.2, FrB06.3, MoB03.11, MoB03.15, MoC38-05.11, MoC38-05.15, ThA20.1, ThA20.2, ThA20.3, ThA20.4, ThA20.5, ThA23.4, ThA30.3, ThB20.1, ThB20.2, ThB20.5, ThB23.4, TuB23.6, TuC20.5, TuC20.6, TuC23.2, TuC37.6, WeB04.13, WeB04.19, WeB20.3, WeB20.4, WeB20.5, WeC38-05.13, WeC38-05.19 |
| Motion control for AVs | FrA27.5, ThA28.5, ThB17.3, ThB29.4, ThC30.4, ThC30.5, TuA20.6, TuB03.15, TuB26.6, TuC26.2, TuC38-06.15, WeB36.1, WeB36.2, WeB36.3, WeB36.4, WeB36.5, WeC05.7, WeC36.1 |
| Multi-agent systems | FrA06.3, FrB07.2, FrB07.3, FrB07.4, FrB07.5, FrB08.6, FrB31.4, MoA01.2, MoA01.3, MoA01.4, MoA01.5, MoA01.6, MoA01.7, MoA01.8, MoA01.9, MoA01.10, MoA01.11, MoA01.12, MoA01.13, MoA01.14, MoA01.15, MoA01.16, MoA01.17, MoA01.18, MoA01.19, MoA01.20, MoA01.21, MoA01.22, MoA07.1, MoA07.2, MoA07.3, MoA07.4, MoA07.5, MoA07.6, MoA10.2, MoA10.6, MoA20.6, MoB03.22, MoB07.1, MoB07.2, MoB07.3, MoB07.5, MoB07.6, MoC07.1, MoC07.2, MoC07.3, MoC07.4, MoC07.6, MoC10.3, MoC38-01.2, MoC38-01.3, MoC38-01.4, MoC38-01.5, MoC38-01.6, MoC38-01.7, MoC38-01.8, MoC38-01.9, MoC38-01.10, MoC38-01.11, MoC38-01.12, MoC38-01.13, MoC38-01.14, MoC38-01.15, MoC38-01.16, MoC38-01.17, MoC38-01.18, MoC38-01.19, MoC38-01.20, MoC38-01.21, MoC38-01.22, MoC38-05.22, ThA03.1, ThA03.18, ThA03.19, ThA03.20, ThA03.21, ThA06.2, ThA06.6, ThA07.4, ThA10.4, ThA13.1, ThA13.2, ThA13.3, ThA29.6, ThB02.2, ThB02.4, ThB02.5, ThB02.7, ThB02.8, ThB02.13, ThB02.15, ThB02.17, ThB02.18, ThB02.20, ThB02.22, ThB07.4, ThB07.5, ThB07.6, ThB10.1, ThC01.1, ThC01.2, ThC01.3, ThC07.1, ThC07.4, ThC07.6, ThC08.2, ThC10.1, ThC10.3, ThC10.6, ThC38-02.2, ThC38-02.4, ThC38-02.5, ThC38-02.7, ThC38-02.8, ThC38-02.13, ThC38-02.15, ThC38-02.17, ThC38-02.18, ThC38-02.20, ThC38-02.22, ThC38-04.1, ThC38-04.18, ThC38-04.19, ThC38-04.20, ThC38-04.21, TuA05.2, TuA07.1, TuA07.2, TuA07.4, TuA07.5, TuA07.6, TuA08.2, TuA08.3, TuA09.3, TuB03.24, TuB05.1, TuB05.2, TuB05.3, TuB05.4, TuB05.5, TuB05.6, TuB05.7, TuB05.8, TuB06.2, TuB07.1, TuB07.2, TuB07.3, TuB07.4, TuB07.5, TuB07.6, TuB08.2, TuB08.5, TuB09.6, TuB10.3, TuC01.1, TuC01.2, TuC01.3, TuC01.4, TuC01.5, TuC01.6, TuC07.2, TuC08.3, TuC38-06.24, WeA01.3, WeA07.2, WeA07.3, WeA07.4, WeA07.5, WeA08.5, WeB03.12, WeB03.13, WeB03.15, WeB07.5, WeB07.6, WeB08.4, WeC01.2, WeC01.3, WeC01.4, WeC01.5, WeC01.6, WeC07.1, WeC07.3, WeC07.5, WeC08.5, WeC08.6, WeC38-01.12, WeC38-01.13, WeC38-01.15, WeNSP1.1 |
| Multi-energy networks | MoA36.3, MoC02.5, ThC22.2, TuB22.4, WeC23.5 |
| Multi-modal transportation systems | MoB29.1 |
| Multi-vehicle systems | FrA26.3, FrA27.1, FrA27.6, FrB27.2, FrB27.3, FrB27.6, MoA04.2, MoA29.2, MoA29.4, MoA29.5, MoC29.4, MoC29.5, MoC38-06.2, ThA03.8, ThA27.6, ThA28.1, ThA28.2, ThB17.3, ThB29.4, ThB30.1, ThC28.2, ThC28.3, ThC28.5, ThC28.6, ThC38-04.8, TuB03.13, TuC27.6, TuC38-06.13, WeA26.5, WeB26.2, WeB36.3, WeC26.4, WeC26.5, WeC26.6, WeC36.3 |
| N | Top |
| Natural language interfaces | ThC04.1, ThC04.4 |
| Natural resources management | MoB08.4, WeC24.2 |
| Networking for internet of things | TuA02.17, TuC38-01.17, WeC34.6 |
| Networking for teleoperation | MoB23.3, MoB23.4, TuA02.17, TuA03.6, TuC38-01.17, TuC38-02.6 |
| Neural and fuzzy adaptive control | FrA08.3, MoA04.3, MoB06.2, MoC38-06.3, ThA03.22, ThC38-04.22, TuA10.4, WeB03.1, WeB03.10, WeC38-01.1, WeC38-01.10 |
| Non-smooth and discontinuous optimal control | FrB05.6, MoC13.2, MoC17.5, TuB13.4, TuB13.6, TuB15.5 |
| Nonlinear adaptive control | FrA06.6, FrA08.3, FrA08.4, FrB07.1, FrB08.4, FrB10.4, MoA04.3, MoA04.4, MoA04.5, MoA08.2, MoA08.3, MoB06.1, MoC05.2, MoC09.5, MoC37.1, MoC38-06.3, MoC38-06.4, MoC38-06.5, ThA02.7, ThA03.2, ThA03.18, ThA03.23, ThA10.1, ThB03.14, ThC08.5, ThC08.6, ThC38-01.7, ThC38-03.14, ThC38-04.2, ThC38-04.18, ThC38-04.23, TuB06.6, TuB08.4, TuC06.3, WeB03.10, WeC38-01.10 |
| Nonlinear and optimal automotive control | FrA26.2, FrA30.1, FrB02.3, MoA19.1, MoA26.4, MoB26.1, MoB26.4, MoB28.6, MoC29.3, ThA03.15, ThA04.22, ThA27.4, ThA31.4, ThB05.8, ThB17.1, ThB28.6, ThB30.5, ThB30.6, ThB31.1, ThB31.3, ThB31.6, ThC31.4, ThC38-04.15, ThC38-06.22, TuB03.11, TuB03.19, TuB03.20, TuB03.21, TuB27.6, TuC02.6, TuC38-06.11, TuC38-06.19, TuC38-06.20, TuC38-06.21, WeA05.4, WeB26.5, WeC02.3, WeC02.5 |
| Nonlinear control of switched & hybrid systems | MoA15.4, MoC37.2, TuB17.2, TuB17.3, TuC14.4, WeA02.21, WeA04.8, WeB02.13, WeB15.3, WeC16.4, WeC38-03.21, WeC38-04.13, WeC38-06.8 |
| Nonlinear model reduction | ThB16.6, ThC14.3, ThC17.4, TuC14.4, WeA02.1, WeC38-03.1 |
| Nonlinear observers and filters | MoA15.5, MoA17.5, ThA15.3, ThA15.5, ThB15.5, ThB15.6, TuA17.4, TuB04.23, TuB16.5, TuC14.1, TuC14.6, TuC38-05.23, WeA02.15, WeB02.1, WeB02.14, WeB02.15, WeB02.16, WeB02.17, WeB02.18, WeB02.19, WeB14.2, WeB15.2, WeB15.3, WeB15.4, WeC15.1, WeC15.2, WeC15.3, WeC15.4, WeC15.6, WeC38-03.15, WeC38-04.1, WeC38-04.14, WeC38-04.15, WeC38-04.16, WeC38-04.17, WeC38-04.18, WeC38-04.19 |
| Nonlinear signal processing in MMM systems | MoB03.6, MoC38-05.6 |
| Nonlinear system identification | FrA01.1, FrA07.5, FrA09.6, FrB08.2, FrB08.3, FrB08.5, FrB09.1, FrB09.2, FrB09.3, FrB09.4, FrB09.5, MoA04.4, MoB03.24, MoB08.1, MoB09.1, MoC01.1, MoC05.2, MoC05.6, MoC06.1, MoC06.5, MoC38-05.24, MoC38-06.4, ThA02.8, ThA02.11, ThA02.12, ThA02.13, ThA02.14, ThA02.15, ThA02.16, ThA02.17, ThA02.18, ThA02.19, ThA02.20, ThA02.21, ThA08.3, ThA08.5, ThA30.4, ThB02.18, ThB03.3, ThB03.15, ThB03.16, ThB03.17, ThB03.18, ThC06.4, ThC09.1, ThC09.2, ThC09.6, ThC38-01.8, ThC38-01.11, ThC38-01.12, ThC38-01.13, ThC38-01.14, ThC38-01.15, ThC38-01.16, ThC38-01.17, ThC38-01.18, ThC38-01.19, ThC38-01.20, ThC38-01.21, ThC38-02.18, ThC38-03.3, ThC38-03.15, ThC38-03.16, ThC38-03.17, ThC38-03.18, TuA06.5, TuB06.4, TuC06.4, TuC06.5, TuC07.3, WeA03.20, WeA09.5, WeB06.1, WeB09.6, WeC09.3, WeC09.4, WeC09.5, WeC09.6, WeC38-02.20 |
| Nonlinear time-delay systems | FrA02.2, ThA17.1, ThA17.3, ThA17.4, ThA17.5, ThC15.1, TuA15.5, TuB02.1, TuB17.4, TuC38-03.1, WeA17.6, WeC17.2, WeC17.3 |
| Nonlinearity learning from data | MoA14.4, MoA14.5, MoA14.6, MoB16.1, MoC14.5, ThA15.5, ThB14.6, ThB15.2, ThC05.1, ThC13.2, ThC15.1, ThC17.4, TuA17.1, TuA17.3, TuA17.5, TuA17.6, TuB04.5, TuB04.18, TuC14.2, TuC14.3, TuC14.4, TuC14.6, TuC38-05.5, TuC38-05.18, WeA14.4, WeA14.6, WeA15.6, WeC14.4, WeC14.5 |
| Nuclear power | FrA31.5, MoA03.22, MoB36.6, MoC38-04.22 |
| Numerical methods for optimal control | FrB01.2, FrB02.6, FrB16.2, MoB13.3, MoB14.1, ThA29.5, ThB05.2, ThC05.1, ThC14.4, TuA04.2, TuA04.13, TuA04.21, TuA13.5, TuB04.11, TuB04.19, TuB04.20, TuB04.21, TuB13.2, TuB13.6, TuC14.5, TuC38-04.2, TuC38-04.13, TuC38-04.21, TuC38-05.11, TuC38-05.19, TuC38-05.20, TuC38-05.21, WeA02.17, WeA04.2, WeA04.6, WeA05.2, WeB13.1, WeB13.2, WeB13.4, WeB13.5, WeB13.6, WeC38-03.17, WeC38-06.2, WeC38-06.6 |
| Numerical methods for optimal control, Real-time optimal control, Model predictive control | WeB13.3 |
| O | Top |
| Observer design | FrA16.4, FrA16.5, FrA16.6, MoC17.1, MoC17.2, ThA15.1, ThA15.4, ThA15.5, ThA15.6, ThB15.1, ThB15.2, ThB15.3, ThB15.5, ThB16.4, ThC15.2, ThC15.3, ThC15.4, ThC15.5, ThC15.6, ThC16.2, TuA04.9, TuA04.10, TuA17.4, TuB02.10, TuB02.21, TuB04.22, TuB04.23, TuB04.24, TuC14.1, TuC38-03.10, TuC38-03.21, TuC38-04.9, TuC38-04.10, TuC38-05.22, TuC38-05.23, TuC38-05.24, WeA02.16, WeA04.9, WeA14.6, WeB02.3, WeB02.15, WeB02.16, WeB02.17, WeB02.18, WeB02.19, WeB15.1, WeB15.2, WeB15.3, WeB15.4, WeB15.5, WeB15.6, WeB17.4, WeB17.5, WeC15.2, WeC15.5, WeC15.6, WeC38-03.16, WeC38-04.3, WeC38-04.15, WeC38-04.16, WeC38-04.17, WeC38-04.18, WeC38-04.19, WeC38-06.9 |
| Open-source tools for increased impact of control | TuC17.4, TuC35.3, TuC35.4, WeC38-07.1, WeC38-07.2 |
| Optimal control and operation of environment systems | MoB08.4, TuC25.4, TuC25.5, WeA24.3, WeA24.4, WeB24.1, WeB24.2, WeB24.3 |
| Optimal control of discrete event and hybrid systems | MoC23.1, MoC23.6, ThB06.2, ThB06.3, ThB06.5, ThB10.1, ThB10.6, ThC08.6, ThC10.1, ThC10.3, TuA05.2, TuA10.1, TuA10.2, TuA10.3, TuA10.4, TuA10.5, TuA10.6, TuB10.1, TuB32.3, WeB03.11, WeB36.6, WeC38-01.11 |
| Optimal control of hybrid systems | MoC13.3, MoC13.4, TuA04.3, TuB04.12, TuC38-04.3, TuC38-05.12, WeA03.24, WeC38-02.24 |
| Optimal control of PDE systems | FrB16.2, MoB14.4, WeA04.4, WeB13.4, WeC13.3, WeC38-06.4 |
| Optimal control theory | FrB01.2, FrB02.4, FrB13.5, FrB13.6, MoB13.4, MoB13.5, MoC14.4, ThA14.4, ThA17.5, ThB05.2, ThB05.5, ThB05.6, ThC05.7, ThC14.5, TuA04.7, TuA04.17, TuA04.19, TuA05.6, TuA16.2, TuA16.3, TuB04.4, TuB04.7, TuB04.20, TuB13.1, TuB13.2, TuB13.3, TuB13.4, TuB13.5, TuB13.6, TuB14.5, TuB15.1, TuB15.4, TuC13.5, TuC38-04.7, TuC38-04.17, TuC38-04.19, TuC38-05.4, TuC38-05.7, TuC38-05.20, TuM00.1, WeA02.6, WeA02.13, WeA04.1, WeA04.2, WeA04.3, WeA04.4, WeA04.5, WeA04.6, WeA04.15, WeA04.24, WeA16.6, WeB02.2, WeB02.21, WeB13.6, WeC38-03.6, WeC38-03.13, WeC38-04.2, WeC38-04.21, WeC38-06.1, WeC38-06.2, WeC38-06.3, WeC38-06.4, WeC38-06.5, WeC38-06.6, WeC38-06.15, WeC38-06.24 |
| Optimization-based estimation and control | FrA16.3, FrB01.3, FrB13.2, FrB15.2, FrB16.4, MoC17.5, ThB14.1, ThC17.2, TuA04.14, TuA13.3, TuB02.2, TuB02.15, TuB02.20, TuB04.13, TuB04.21, TuB13.3, TuB15.6, TuB17.1, TuC13.1, TuC13.5, TuC16.5, TuC38-03.2, TuC38-03.15, TuC38-03.20, TuC38-04.14, TuC38-05.13, TuC38-05.21, WeA02.2, WeA02.9, WeA02.17, WeA04.7, WeA04.8, WeA04.9, WeA04.11, WeB14.3, WeB17.1, WeC13.1, WeC13.2, WeC13.4, WeC13.5, WeC13.6, WeC14.5, WeC38-03.2, WeC38-03.9, WeC38-03.17, WeC38-06.7, WeC38-06.8, WeC38-06.9, WeC38-06.11 |
| Output feedback nonlinear control | MoA17.3, MoA17.5, MoB03.21, MoB15.4, MoB15.5, MoB17.1, MoB19.1, MoC16.2, MoC38-05.21, ThA15.2, ThB05.3, ThB15.2, TuA17.2, TuC16.5, WeB02.9, WeB02.10, WeC15.4, WeC15.5, WeC38-04.9, WeC38-04.10 |
| Output regulation and tracking | FrB13.4, MoA17.1, MoA17.3, MoA17.4, MoA17.6, MoB19.1, MoB19.2, MoB19.3, MoB19.4, MoB19.5, MoB19.6, TuB02.16, TuC38-03.16, WeA02.15, WeB02.10, WeC16.5, WeC38-03.15, WeC38-04.10 |
| Output regulation/tracking for distributed parameter systems | FrB16.3, ThC16.5 |
| P | Top |
| Parallel intelligence | TuA34.6, TuB36.1, TuB36.5, TuC36.4, TuC36.6, WeB31.3 |
| Parametric optimization | MoC14.3, ThC05.5, ThC17.2, TuA04.6, TuC38-04.6, WeA04.10, WeA04.11, WeA04.12, WeA14.5, WeC17.6, WeC38-06.10, WeC38-06.11, WeC38-06.12 |
| Participatory decision making in environmental systems | WeA24.2, WeB05.7, WeB24.4, WeC24.4 |
| Passivity-based control | FrA16.5, FrB14.6, MoB17.2, MoB17.3, MoB17.4, MoB17.5, MoB17.6, MoB19.2, MoC37.5, ThC14.5, TuC15.5, WeA02.22, WeA02.23, WeA15.2, WeB02.20, WeB02.21, WeB05.3, WeC38-03.22, WeC38-03.23, WeC38-04.20, WeC38-04.21 |
| PDEs for time delay systems | FrB16.5, FrB16.6, WeA17.4 |
| Perception and filtering in marine systems | FrB26.1, FrB26.2, FrB26.4, MoA04.6, MoA27.3, MoB27.5, MoC38-06.6, ThB29.3, ThC26.1, ThC26.2, ThC26.3, ThC26.4, TuB27.4, TuB27.5, WeA03.23, WeC38-02.23 |
| Petri nets | MoC10.5, MoC23.1, MoC23.2, ThC10.2, ThC10.4, ThC10.6, TuB08.5, TuB10.1, WeB03.7, WeB03.12, WeB03.13, WeC38-01.7, WeC38-01.12, WeC38-01.13 |
| Pharmaceutical processes, food engineering and industrial biotechnology | MoB24.4, TuB24.3, WeB25.2, WeB25.4 |
| Pharmacokinetics, tracer kinetic modelling and drug delivery | FrB28.6, MoB02.7, MoC38-03.7, ThA25.1, TuA24.4, TuA25.6 |
| Physics informed and grey box model identification | FrA09.1, FrA09.2, FrA09.3, FrA09.4, FrA09.5, FrA09.6, FrB08.1, FrB09.1, FrB09.2, FrB09.3, FrB09.4, FrB09.5, MoB08.2, MoC05.1, MoC05.3, ThA02.15, ThA02.20, ThA09.2, ThB03.3, ThB03.15, ThB03.17, ThB03.18, ThC06.3, ThC09.3, ThC38-01.15, ThC38-01.20, ThC38-03.3, ThC38-03.15, ThC38-03.17, ThC38-03.18, TuB06.4, TuC08.2, WeA09.5, WeC10.1 |
| Planning and management in environmental systems under deep uncertainty | WeA24.2 |
| Planning, management and security in transportation | FrA26.1, MoA04.7, MoC38-06.7, ThA04.19, ThA04.20, ThC29.1, ThC29.2, ThC38-06.19, ThC38-06.20, WeA36.6, WeC05.3 |
| Positioning and navigation in agriculture and forestry | MoA24.1, MoA24.2, MoA24.4, MoA24.5, MoA24.6, MoB02.1, MoB02.2, MoC38-03.1, MoC38-03.2, ThC24.6, WeC05.1 |
| Positive linear systems | MoB16.6, MoC15.3, ThA14.5, TuA04.10, TuC38-04.10, WeA17.5, WeB15.5 |
| Power and propulsion in marine systems | ThA26.3, ThA26.4, ThA26.5, TuA27.3, TuB27.2, TuB27.3, WeA27.3, WeB02.23, WeC27.2, WeC27.4, WeC38-04.23 |
| Power electronics | FrB21.1, FrB21.4, MoA03.6, MoA03.7, MoA03.12, MoA03.13, MoC38-04.6, MoC38-04.7, MoC38-04.12, MoC38-04.13, ThA21.6, ThC22.4, TuB21.3, TuC21.5, WeA21.6, WeC21.2, WeC23.4 |
| Power plant control | FrA31.5, FrB21.2, MoA03.5, MoA03.9, MoA03.13, MoA03.22, MoA21.5, MoC22.3, MoC38-04.5, MoC38-04.9, MoC38-04.13, MoC38-04.22, ThB21.2, ThB21.6, ThB22.1, ThB22.2, ThB22.4, ThC22.5, TuA21.3, TuB21.6, TuC21.5, WeB04.21, WeC38-05.21 |
| Power systems stability | FrB21.1, FrB21.2, FrB21.3, FrB21.4, FrB21.6, FrB30.2, FrB30.5, MoA03.7, MoA03.8, MoA03.9, MoA03.10, MoA03.11, MoA03.12, MoA03.13, MoA21.1, MoA21.2, MoA21.3, MoA21.5, MoA21.6, MoB03.8, MoB03.19, MoB21.2, MoB21.3, MoB21.5, MoC22.1, MoC38-04.7, MoC38-04.8, MoC38-04.9, MoC38-04.10, MoC38-04.11, MoC38-04.12, MoC38-04.13, MoC38-05.8, MoC38-05.19, ThA05.6, ThA21.4, ThA22.5, ThC22.1, ThC22.4, ThC22.5, ThC22.6, TuA21.4, TuA21.5, TuA21.6, TuA22.3, TuA22.5, TuB21.1, TuB21.3, TuB21.4, TuB21.5, TuB21.6, TuC21.3, TuC21.4, TuC21.5, WeA21.3, WeA21.4, WeA21.5, WeA21.6, WeB04.14, WeB04.20, WeC23.1, WeC38-05.14, WeC38-05.20 |
| Predictive control of fully-actuated systems | FrA03.4, FrB03.4, ThC03.5 |
| Predictive maintenance and equipment condition monitoring | FrA24.4, MoC20.2 |
| Probabilistic and Bayesian methods for system identification | MoB08.3, MoB09.2, MoB09.3, MoB09.4, MoC08.2, ThA02.4, ThA02.21, ThA06.1, ThA30.2, ThB03.12, ThB03.13, ThB03.15, ThB03.19, ThB03.21, ThC09.1, ThC09.2, ThC38-01.4, ThC38-01.21, ThC38-03.12, ThC38-03.13, ThC38-03.15, ThC38-03.19, ThC38-03.21, TuA06.6, TuC37.5, WeB06.5, WeC06.4, WeC09.6 |
| Probabilistic robustness | MoA04.19, MoA13.4, MoC38-06.19, ThC13.4, ThC17.3, TuB02.11, TuC38-03.11 |
| Process control of agricultural machinery | ThB24.1, ThB24.2, ThB24.4, ThC07.2 |
| Process modeling, identification, and estimation techniques | FrA21.5, FrA23.2, FrA24.3, FrA24.5, FrB23.3, FrB23.5, MoA03.20, MoB03.7, MoB03.10, MoB03.14, MoB03.16, MoB03.17, MoB03.18, MoB03.19, MoB03.20, MoB36.3, MoB36.4, MoC05.4, MoC05.5, MoC20.3, MoC26.1, MoC26.2, MoC26.4, MoC26.5, MoC38-04.20, MoC38-05.7, MoC38-05.10, MoC38-05.14, MoC38-05.16, MoC38-05.17, MoC38-05.18, MoC38-05.19, MoC38-05.20, ThA23.2, ThA23.3, ThA23.4, ThA30.6, ThB20.2, ThB23.1, ThC23.1, ThC23.2, TuA20.5, TuA23.1, TuA23.2, TuA23.3, TuA23.5, TuB20.2, TuB23.1, TuB23.4, TuB23.5, TuC20.1, TuC20.2, TuC20.3, TuC20.4, TuC20.5, TuC20.6, TuC21.6, TuC23.1, TuC23.4, TuC23.5, TuC23.6, WeA05.3, WeA10.1, WeA20.5, WeB20.4, WeB20.5, WeC21.4, WeC22.2, WeC22.5 |
| Process performance monitoring/statistical process control | FrB06.3, FrB24.2, FrB24.3, MoB03.11, MoB20.2, MoC38-05.11, ThA20.1, ThA20.2, ThA20.3, ThB20.4, ThB23.5, TuC20.6, TuC23.4, WeB04.3, WeC38-05.3 |
| Production and operations management | FrA17.1, FrA17.2, FrA17.6, FrA20.1, FrB20.2, FrB20.3, FrB20.4, MoC35.2, MoC35.4, ThA23.6, ThC20.4, TuB18.1, TuC18.2, TuC18.5, WeB19.4 |
| Prompt-based control synthesis and optimization | ThC04.5 |
| Q | Top |
| Quantized control and communication constraints | WeB02.3, WeC38-04.3 |
| Quantized systems | FrA07.1, FrA07.3, FrA07.5, FrB08.2, FrB08.6, MoB23.5, ThB03.20, ThC06.5, ThC38-03.20, TuA07.3, WeB03.14, WeC38-01.14 |
| Quantized systems Profile: Invited Session | FrA07.2 |
| Quantum control | MoC04.1, MoC04.2, MoC04.3, MoC37.6, ThB01.1, ThB01.2, ThB01.3, ThB01.4, TuC04.1, TuC04.2, WeC04.1, WeC04.2, WeC04.3, WeC04.4 |
| Quantum filtering | MoC04.1, MoC04.2, MoC04.4, WeC04.3 |
| Quantum linear systems | MoC04.4, TuC04.4 |
| Quantum observers | TuC04.4, WeC04.4 |
| Quantum optimal control | MoC04.2, MoC04.3, MoC04.4, MoC37.6, TuC04.1, TuC04.5, WeC04.2 |
| Quantum systems | MoC04.3, MoC04.5, MoC37.6, TuC04.1, TuC04.3, TuC04.4, TuC04.5, WeC04.1, WeC04.3, WeC04.4 |
| Quantum tomography | TuC04.3 |
| Queuing systems and performance model | FrA30.4, ThB02.9, ThC38-02.9 |
| R | Top |
| Rail transportation modelling and control systems | MoA04.7, MoA04.8, MoC38-06.7, MoC38-06.8, ThA04.21, ThA04.22, ThC38-06.21, ThC38-06.22 |
| Randomized algorithms in robust control | ThC13.4, WeA04.13, WeC38-06.13 |
| Randomized algorithms in stochastic systems | MoA01.21, MoC38-01.21, ThA03.20, ThC38-04.20, TuB09.6, TuC08.1, TuC08.2, WeA06.6, WeB06.3, WeC10.6 |
| Reachability analysis, verification and abstraction of hybrid systems | MoA10.1, MoA10.3, MoA10.4, MoB06.6, MoB10.2, MoC10.4, MoC10.6, ThA07.6, ThB06.1, ThB06.4, ThB06.5, ThB06.6, TuA10.1, TuA10.5, TuC08.6, WeB06.3 |
| Real time monitoring and control of environmental systems | TuA25.1, WeA09.4, WeA24.1, WeA24.5, WeB05.7, WeC24.1, WeC24.3, WeC24.4, WeC24.5 |
| Real time simulators for energy systems | FrA31.1, FrB21.4, MoA21.3, MoC21.2, ThA21.3, ThA21.6, TuB21.1, WeC23.1, WeC23.5 |
| Real-time optimal control | FrA13.6, FrA31.4, FrB02.5, FrB13.3, MoB13.4, MoC13.1, MoC13.2, MoC13.4, TuA04.4, TuA04.8, TuA16.3, TuB02.7, TuB04.1, TuB04.11, TuC38-03.7, TuC38-04.4, TuC38-04.8, TuC38-05.1, TuC38-05.11, WeA04.7, WeA04.14, WeA04.15, WeB13.1, WeB13.2, WeC13.5, WeC37.3, WeC38-06.7, WeC38-06.14, WeC38-06.15 |
| Real-time optimization and control in chemical processes | FrA23.6, FrB01.4, FrB23.2, MoB03.20, MoC38-05.20, ThB23.1, ThC23.3, TuA20.3, TuB20.2, TuB20.3, TuB20.4, TuB23.3, TuC37.2, WeA05.3, WeA10.6, WeA20.4, WeA23.3, WeB04.17, WeB04.18, WeB20.2, WeB23.1, WeC20.6, WeC22.1, WeC22.3, WeC22.4, WeC38-05.17, WeC38-05.18 |
| Realization theory | MoB03.24, MoC38-05.24, ThA02.23, ThC38-01.23, WeC09.4 |
| Regulation, policy, and legal issues in control/AI | MoA02.15, MoC30.5, MoC38-02.15 |
| Rehabilitation engineering and healthcare delivery | FrB25.2, MoB02.14, MoC38-03.14, TuC24.1, TuC24.3, TuC24.4, TuC25.3 |
| Reinforcement learning and deep learning in control | FrB24.5, MoNSP1.1, ThC31.6, TuA02.10, TuA02.11, TuA02.12, TuA02.13, TuA02.14, TuA02.15, TuA02.16, TuA03.4, TuA03.5, TuA03.22, TuA03.23, TuA33.1, TuA33.2, TuA33.3, TuA33.4, TuA33.5, TuB33.6, TuC38-01.10, TuC38-01.11, TuC38-01.12, TuC38-01.13, TuC38-01.14, TuC38-01.15, TuC38-01.16, TuC38-02.4, TuC38-02.5, TuC38-02.22, TuC38-02.23 |
| Reliability and safety in processes | FrB24.1, MoB03.6, MoC26.3, MoC38-05.6, ThA30.3, ThB20.4, ThB20.5, ThB23.2, TuC20.4, WeB04.7, WeB04.15, WeB04.19, WeB20.5, WeB21.3, WeB22.4, WeC21.1, WeC21.4, WeC21.5, WeC38-05.7, WeC38-05.15, WeC38-05.19 |
| Remote control | MoB23.3, MoB23.4, TuA02.17, TuA02.18, TuA29.6, TuC38-01.17, TuC38-01.18, WeC34.3, WeC34.6 |
| Remote data acquisition and fusion | MoB29.3, MoB29.5, ThA03.24, ThC38-04.24, TuA02.18, TuA29.6, TuB33.2, TuC38-01.18, WeC34.3 |
| Repositories for control education | FrB31.5, MoA02.14, MoA11.2, MoA11.3, MoA11.4, MoA11.5, MoA11.6, MoC38-02.14, ThA37.3, ThB37.3, ThB37.4, TuC35.4, WeC38-07.5, WeC38-07.11 |
| Resilient networked control systems | MoA01.1, MoA04.9, MoA07.1, MoC23.3, MoC38-01.1, MoC38-06.9, ThA03.10, ThA06.4, ThB02.1, ThB02.10, ThB02.11, ThB02.14, ThB08.5, ThC01.3, ThC01.6, ThC38-02.1, ThC38-02.10, ThC38-02.11, ThC38-02.14, ThC38-04.10, TuA08.4, TuB05.3, TuB08.1, TuB08.6, WeA08.2, WeA08.6, WeC08.3, WeC08.5, WeC08.6 |
| Responsible automation | MoA34.1, MoA35.4 |
| Robot perception and sensing | FrA05.6, FrA34.5, FrB06.1, FrB06.4, FrB32.5, MoA04.20, MoA05.3, MoB04.23, MoB04.24, MoB05.8, MoC38-06.20, MoC38-07.23, MoC38-07.24, ThA32.6, ThA34.2, ThA35.2, ThB04.7, ThB04.14, ThB04.15, ThB04.16, ThB04.17, ThC34.2, ThC38-05.7, ThC38-05.14, ThC38-05.15, ThC38-05.16, ThC38-05.17, TuA30.1, WeA03.4, WeA03.14, WeA33.3, WeA33.6, WeB05.4, WeB33.1, WeB33.2, WeB33.3, WeB33.4, WeB33.5, WeB33.6, WeC05.4, WeC33.2, WeC33.4, WeC33.5, WeC38-02.4, WeC38-02.14 |
| Robotic grasping and manipulation | FrB06.5, FrB32.1, FrB32.6, MoB32.1, MoB32.2, MoB32.3, MoB32.4, MoB32.5, ThA32.5, ThB04.5, ThB34.3, ThB34.4, ThB34.6, ThB35.5, ThC38-05.5, TuA30.2, TuB32.5, TuB32.6, WeA03.1, WeA03.2, WeA03.15, WeA03.16, WeA33.1, WeB33.3, WeC33.2, WeC33.6, WeC38-02.1, WeC38-02.2, WeC38-02.15, WeC38-02.16 |
| Robotic learning and adaptation | FrA05.5, FrB06.5, FrB06.7, FrB06.8, FrB31.1, FrB32.1, FrB34.4, FrB34.5, MoA05.7, MoA32.1, MoA32.3, MoB04.23, MoB32.4, MoB32.5, MoC38-07.23, MoM00.1, ThA35.1, ThA35.6, ThB04.10, ThB04.11, ThB32.4, ThB34.4, ThB34.5, ThB35.6, ThC35.4, ThC35.5, ThC38-05.10, ThC38-05.11, TuA30.2, TuA30.4, TuA30.6, WeA03.3, WeA03.4, WeA03.5, WeA03.11, WeA03.12, WeA33.1, WeA33.2, WeA33.3, WeA33.4, WeA33.5, WeA33.6, WeB33.4, WeB33.6, WeC33.3, WeC33.5, WeC33.6, WeC38-02.3, WeC38-02.4, WeC38-02.5, WeC38-02.11, WeC38-02.12, WeM00.1 |
| Robotic manipulation of agricultural materials | ThA24.5, ThB24.5 |
| Robotic vision for AVs | FrB26.1, MoA28.2, TuA26.4, TuA27.6, WeC05.2, WeC36.2, WeC36.3, WeC36.4 |
| Robotics in manufacturing systems | ThC20.3, TuA02.3, TuA02.19, TuC18.4, TuC38-01.3, TuC38-01.19, WeA19.3, WeC18.1, WeC19.1, WeC19.3, WeC19.4 |
| Robust control applications | MoB13.6, MoB15.3, MoB16.1, MoB16.2, MoB16.3, MoB16.4, MoB16.5, ThB05.3, ThC13.5, ThC17.6, TuA15.3, TuA16.6, TuB04.3, TuB04.5, TuB04.14, TuC38-05.3, TuC38-05.5, TuC38-05.14, WeA13.2, WeA15.3, WeA15.5, WeB02.6, WeB02.11, WeB16.3, WeC17.1, WeC17.4, WeC38-04.6, WeC38-04.11 |
| Robust controller synthesis | MoA14.3, MoA16.6, MoB16.3, ThA17.2, ThC17.6, TuA16.1, TuA16.4, TuA16.5, TuA16.6, TuA17.2, TuB02.17, TuB13.5, TuC05.5, TuC13.4, TuC13.6, TuC38-03.17, WeA04.16, WeA04.17, WeA04.20, WeA04.22, WeB02.5, WeC16.6, WeC38-04.5, WeC38-06.16, WeC38-06.17, WeC38-06.20, WeC38-06.22 |
| Robust estimation | MoB16.2, ThA15.2, ThA15.3, ThB15.3, ThB15.4, TuA04.20, TuC38-04.20, WeA04.13, WeA04.18, WeB05.5, WeB14.2, WeB15.5, WeC13.6, WeC15.3, WeC38-06.13, WeC38-06.18 |
| Robust learning systems | MoB19.3, MoC14.1, ThB14.1, ThB14.2, ThB14.5, ThC13.4, ThM00.1, TuA17.6, TuB04.3, TuC38-05.3, WeB14.3, WeB23.6, WeC14.4 |
| Robust linear matrix inequalities | MoA16.1, MoA16.4, MoA16.5, MoA16.6, MoC17.4, TuA16.4, TuB02.13, TuB04.4, TuB04.18, TuB04.24, TuC05.8, TuC38-03.13, TuC38-05.4, TuC38-05.18, TuC38-05.24, WeA04.22, WeB16.3, WeC38-06.22 |
| Robust output feedback control of DPS | ThC16.5 |
| Robust quantum control | MoC04.1, TuC04.2 |
| Robust time-delay systems | ThA17.6, TuB04.19, TuC38-05.19, WeA04.19, WeA04.20, WeC38-06.19, WeC38-06.20 |
| Robustness analysis | ThB13.4, TuA04.6, TuA13.2, TuA15.3, TuC05.8, TuC15.5, TuC38-04.6, WeA04.21, WeA04.22, WeA04.23, WeA15.1, WeB02.7, WeB05.5, WeC38-04.7, WeC38-06.21, WeC38-06.22, WeC38-06.23 |
| S | Top |
| Safety and security in networked control | MoA23.1, MoA23.2, MoA23.3, MoA23.4, MoA23.5, MoB23.1, MoB23.2, MoB23.3, MoB23.4, MoB29.2, MoB29.3, MoB29.4, MoB29.5, TuA02.13, TuA03.16, TuC38-01.13, TuC38-02.16 |
| Safety-critical and resilient systems | MoA02.15, MoA37.1, MoB34.1, MoC33.2, MoC38-02.15, ThA36.3, ThC36.1, TuA36.3, WeB37.2, WeC35.3 |
| Sampled-data/digital control | MoA13.5, MoC17.1, MoC17.2, MoC17.3, MoC17.4, MoC17.5, MoC17.6, ThA05.3, ThB05.4, ThB05.5, ThB05.6, ThC15.5, ThC16.2, TuB02.23, TuC38-03.23, WeA17.6, WeB16.5, WeC14.2, WeC14.3, WeC17.5 |
| Saturation and discontinuity | MoA15.2, MoB15.4, MoB19.4, ThA05.8, TuA05.6, TuB02.18, TuB16.6, TuC38-03.18, WeB02.1, WeC38-04.1 |
| Security and privacy in CPHS | ThC36.4, ThC36.5, WeB37.2 |
| Security for stochastic systems | TuA09.5, TuA10.3, WeA03.6, WeB03.6, WeB08.1, WeB08.5, WeC38-01.6, WeC38-02.6 |
| Sensing and perception in agriculture | FrA05.4, MoA24.1, MoB02.15, MoB02.16, MoC38-03.15, MoC38-03.16, ThA24.2, ThA24.3, ThA24.4, ThA24.5, ThB24.2, ThC24.4, WeA09.4, WeA25.6 |
| Sensor networks for agricultural automation | ThC24.2 |
| Sensors and actuators in marine systems | FrB26.4, MoA04.6, MoC38-06.6, ThC26.2, ThC32.2, TuB27.5, WeC27.1 |
| Service-architectures for control systems | TuA03.15, TuC38-02.15 |
| Shared control | FrB34.3, MoC37.3, ThB05.7, ThB34.3, ThC33.2, ThC34.3, ThC34.4, ThC34.5, ThC34.6, WeC19.5, WeC19.6 |
| Simulation and digital-twin in marine systems | FrB26.6, MoC27.2, ThA03.8, ThA03.12, ThC26.1, ThC26.2, ThC38-04.8, ThC38-04.12, TuA27.4, TuB27.3, WeA27.1 |
| Simulation and optimization in production, operations and services | FrA17.1, FrA17.2, FrA17.4, FrA17.5, FrB20.3, MoA22.4, MoA22.5, MoC18.4, MoC35.3, ThA23.6, ThB18.2, ThB18.6, TuA02.4, TuA18.3, TuB18.3, TuB19.3, TuC18.3, TuC38-01.4 |
| Sliding mode control | FrB13.1, MoA15.5, MoB16.6, ThC13.1, ThC13.6, ThC15.5, TuA05.1, TuA13.3, TuB02.4, TuB04.2, TuB04.15, TuC38-03.4, TuC38-05.2, TuC38-05.15, WeA13.2, WeA16.1, WeA16.2, WeA16.3, WeA16.4, WeA16.5, WeA16.6, WeB02.3, WeB02.4, WeB02.5, WeB02.6, WeB02.7, WeB02.8, WeB16.2, WeB16.4, WeB16.5, WeB16.6, WeB23.6, WeC07.6, WeC16.3, WeC16.4, WeC16.5, WeC16.6, WeC38-04.3, WeC38-04.4, WeC38-04.5, WeC38-04.6, WeC38-04.7, WeC38-04.8 |
| Smart buildings and building automation | FrB21.5, FrB30.2, FrB30.3, FrB30.4, MoA03.1, MoB22.1, MoB22.2, MoB22.3, MoB22.4, MoB22.5, MoC02.2, MoC02.3, MoC22.5, MoC38-04.1, TuC21.2, WeC35.5 |
| Smart city control and optimization | MoA02.2, MoA33.1, MoA33.2, MoA33.5, MoA37.3, MoA37.6, MoB33.1, MoB33.2, MoB33.3, MoB33.4, MoB37.1, MoB37.4, MoC33.3, MoC33.5, MoC36.2, MoC36.3, MoC36.4, MoC36.5, MoC38-02.2, ThA36.1, ThA36.2, ThA36.4, ThA36.5, ThC11.1, ThC11.3, ThC11.4, ThC11.5, ThC36.3, ThC36.6, TuA28.1, TuA28.2, TuA28.5, TuA28.6, TuA36.2, TuA36.4, TuA36.5, TuA36.6, TuB34.4, TuB34.5, TuC34.1, TuC34.4, TuC34.5, WeA37.2, WeB37.1, WeB37.4, WeB37.5, WeC35.4 |
| Smart city design and planning | MoA30.2, MoA30.3, MoB30.2, MoB30.5, ThA36.6, ThB36.4, TuA28.5, TuB34.4 |
| Smart city security and resilience | MoA02.16, MoA30.3, MoA37.2, MoA37.4, MoB33.1, MoB37.1, MoB37.6, MoC38-02.16, ThA36.4, TuA28.2, TuA36.2, TuA36.5, TuC36.2, WeA37.4, WeC35.4 |
| Smart production and logistics in manufacturing | FrA17.4, FrB20.1, MoA05.5, MoA22.3, TuA02.5, TuA02.6, TuA18.4, TuC18.1, TuC38-01.5, TuC38-01.6, WeA18.1, WeA18.5 |
| Smart structures and vibration control | FrA34.6, FrB33.4, ThA33.5, ThA33.6, WeA03.7, WeC32.6, WeC38-02.7 |
| Social computing | MoA02.7, MoA30.4, MoB02.17, MoC38-02.7, MoC38-03.17, ThB36.5, TuA34.1, TuA34.4, TuA34.6, TuB36.4, TuC36.3, TuC36.6, WeA31.1, WeB31.1, WeB31.4, WeB31.5, WeB35.1, WeB35.5, WeC31.4 |
| Social networks and opinion dynamics | FrB05.7, MoA34.1, MoA34.2, MoA34.3, MoA34.4, MoA34.5, MoA34.6, MoB02.11, MoB02.12, MoB02.17, MoB30.3, MoC38-03.11, MoC38-03.12, MoC38-03.17, TuA36.1, WeA31.1, WeA31.2, WeA31.3, WeA31.4, WeA31.5, WeA31.6, WeB35.4, WeB35.5, WeC38-07.1 |
| Social networks for smart cities | MoA02.16, MoA30.2, MoA30.5, MoA30.6, MoB30.4, MoB30.5, MoC30.4, MoC38-02.16, ThB36.6 |
| Social robotics and ethics | ThC34.1 |
| Social transportation and social energy | MoA30.3, MoA33.1, MoA33.4, MoA33.5, MoA37.6, MoB33.5, MoC33.4, ThA36.3, TuA36.4, WeA37.1, WeC35.1 |
| Soft computing and robust intelligent control | FrA14.1, FrA14.2, FrA14.4, MoB11.1, MoB11.5, MoB29.6, ThC31.6, TuA03.10, TuC38-02.10 |
| Soft robotics | FrA05.6, FrA32.1, FrA32.6, FrB32.6, MoB04.14, MoB05.5, MoC38-07.14, ThA33.4, ThA35.3, ThA35.4, ThA35.5, ThB35.1, ThB35.2, ThB35.3, ThB35.4, ThB35.5, ThB35.6, ThC35.6, WeC32.2, WeC32.3 |
| Soft sensors in MMM systems | MoC20.1, MoC20.2, MoC20.4, MoC20.5, ThA23.1, TuC23.3 |
| Solar energy | MoC22.2, ThA21.1, ThA22.3, TuC22.1, TuC22.2, TuC22.3, WeA21.2, WeA22.6 |
| Space exploration and transportation | MoA04.10, MoA04.11, MoA28.3, MoC28.5, MoC38-06.10, MoC38-06.11, ThA04.2, ThA04.11, ThA04.12, ThA27.2, ThB27.3, ThC38-06.2, ThC38-06.11, ThC38-06.12, TuB26.5, WeB05.2 |
| Stability and stabilization of hybrid systems | FrM00.1, MoA10.4, MoA10.5, MoB06.4, MoB10.4, MoB10.5, MoB10.6, MoC01.4, MoC07.6, ThB02.12, ThB03.14, ThC38-02.12, ThC38-03.14, TuB10.6, TuC07.5, TuC10.1, TuC10.2, TuC10.3, TuC10.4, TuC10.5, WeB03.15, WeB03.16, WeB03.17, WeB16.1, WeC38-01.15, WeC38-01.16, WeC38-01.17 |
| Stability of nonlinear systems | MoA14.6, MoA15.1, MoA15.2, MoA15.3, MoA16.5, MoB14.2, MoB14.6, MoB15.3, MoB15.6, MoB17.6, MoC16.1, MoC16.2, MoC16.3, MoC16.4, MoC37.2, MoC37.4, MoC37.5, ThA14.4, ThA15.2, ThA17.1, ThA17.3, ThB13.1, ThB13.3, ThB13.4, TuA04.8, TuA04.15, TuA05.5, TuA13.1, TuA17.1, TuA17.5, TuB02.16, TuB17.1, TuB17.2, TuB17.3, TuB17.4, TuB17.5, TuB17.6, TuB21.2, TuC05.6, TuC14.2, TuC14.3, TuC38-03.16, TuC38-04.8, TuC38-04.15, WeA02.12, WeA04.5, WeA04.21, WeA16.4, WeA16.5, WeA17.6, WeB02.5, WeB02.6, WeB02.7, WeB02.8, WeB02.9, WeB02.19, WeB02.21, WeB02.22, WeB05.3, WeB15.4, WeB16.2, WeC13.6, WeC15.3, WeC37.1, WeC38-03.12, WeC38-04.5, WeC38-04.6, WeC38-04.7, WeC38-04.8, WeC38-04.9, WeC38-04.19, WeC38-04.21, WeC38-04.22, WeC38-06.5, WeC38-06.21 |
| Statistical analysis | MoA07.5, MoC06.6, ThA02.9, ThA09.5, ThC38-01.9, TuA09.6, TuB09.1, TuB09.4, TuB09.5, WeB03.4, WeC09.3, WeC38-01.4 |
| Statistical inference | MoB09.4, MoC06.6, ThB03.2, ThB09.2, ThC38-03.2, TuA09.6, TuB09.1, TuB09.2, TuB09.3, TuB09.4, TuB09.5 |
| Stochastic adaptive control | FrB08.4, FrB08.5, MoA04.5, MoC38-06.5, ThM00.1, WeC10.6 |
| Stochastic control | FrA30.4, MoB06.5, MoC23.3, ThA03.21, ThB02.6, ThB02.15, ThC05.6, ThC38-02.6, ThC38-02.15, ThC38-04.21, TuA09.5, TuC05.7, TuC06.1, TuC08.3, TuC08.5, WeB03.2, WeB03.3, WeB03.18, WeB03.19, WeB03.20, WeC07.3, WeC38-01.2, WeC38-01.3, WeC38-01.18, WeC38-01.19, WeC38-01.20 |
| Stochastic differential equations | FrA02.2, ThA29.6, TuC08.3, TuC08.4, TuC08.5, TuC08.6, TuC09.5, WeA07.6, WeB03.18, WeB03.20, WeC07.4, WeC38-01.18, WeC38-01.20 |
| Stochastic hybrid systems | MoA10.1, MoB10.2, ThB06.1, TuA10.5, TuC08.6, WeB03.19, WeB03.20, WeC38-01.19, WeC38-01.20 |
| Stochastic optimal control problems | MoA13.4, MoC13.5, ThA29.2, ThA29.4, ThA29.5, ThC17.3, TuA02.20, TuA14.5, TuB02.13, TuB04.13, TuB14.1, TuB15.6, TuB21.2, TuC13.1, TuC13.2, TuC13.3, TuC13.4, TuC13.5, TuC13.6, TuC38-01.20, TuC38-03.13, TuC38-05.13, WeA04.6, WeA04.24, WeA05.2, WeC38-06.6, WeC38-06.24 |
| Structural analysis/quantitative methods for FDI/FTC | FrA21.1, FrB24.4, MoB20.6 |
| Structural and geometric control | MoC15.1, MoC15.4, TuA04.21, TuC16.6, TuC38-04.21, WeC17.4 |
| Structured linear systems | MoC15.1, MoC15.3, MoC15.6, ThC05.7, TuB02.7, TuC38-03.7, WeB13.5 |
| Sub-fully actuated systems | FrA03.5, FrB03.5, MoC03.4, MoC03.5, TuC03.3, TuC03.4, TuC03.5, WeC03.6 |
| Sum-of-squares | MoA16.3 |
| Supervision and testing | ThC17.1, TuA02.21, TuB02.23, TuC38-01.21, TuC38-03.23 |
| Supervisory control and automata | MoC10.1, MoC23.2, MoC23.4, MoC23.5, MoC23.6, ThA07.5, ThA07.6, ThB03.20, ThB06.6, ThB10.1, ThB10.2, ThB10.3, ThB10.4, ThB10.5, ThB10.6, ThC10.1, ThC10.5, ThC38-03.20, TuA09.4, TuA10.6, TuB10.2, TuB32.3, WeB03.6, WeB03.21, WeC08.6, WeC38-01.6, WeC38-01.21 |
| Supply chain and logistics engineering, simulation and optimization | FrA17.5, FrA17.6, MoA22.4, MoC35.2, ThB18.5, ThB18.6, ThB23.6, TuA18.1, TuA18.2, WeA19.6, WeB19.1, WeB19.2, WeB19.5, WeB19.6 |
| Supply chain management in manufacturing | FrA17.6, MoC18.6, MoC35.1, ThA23.6, ThB18.1, ThB18.6, TuA18.2, TuA18.5, WeB19.4, WeB19.5, WeB19.6 |
| Supply network dynamics and control | FrB20.4, MoA22.5, MoC35.3, TuA18.2, WeB19.4, WeB19.5, WeB19.6 |
| Sustainable and circular manufacturing systems | FrB17.4, FrB17.5, FrB20.5, MoA22.1, MoA22.3, ThA18.1, ThA18.2, ThA18.3, ThA18.4, ThB18.1, ThB18.3, ThB18.4, TuA02.22, TuB18.4, TuC18.1, TuC18.3, TuC38-01.22, WeA19.6 |
| Sustainable and circular supply chain and production | FrB17.4, FrB20.3, FrB20.5, MoA22.1, MoC18.4, MoC35.5, ThA18.1, ThA18.2, ThB18.1, ThB18.3, TuA02.22, TuA18.5, TuB19.3, TuC38-01.22, WeA19.6 |
| Switching linear systems | MoA16.2, MoC15.5, MoC16.6, ThA14.6, ThB15.3, ThC15.3, TuB02.14, TuC15.6, TuC38-03.14, WeB17.4 |
| Switching stability and control | MoA15.4, MoB19.6, TuB02.14, TuB17.2, TuB17.3, TuC15.6, TuC38-03.14, WeA04.17, WeB15.6, WeC07.6, WeC38-06.17 |
| Synthesis of stochastic systems | TuA09.4, TuB07.5, TuC05.7, WeB03.18, WeB06.3, WeC38-01.18 |
| Synthetic biology | FrB06.6, MoB24.1, MoB24.2, MoB24.3, MoC24.5, MoC25.1, MoC25.3, WeA25.1, WeA25.2, WeA25.3, WeA25.5 |
| System dynamics and control in CPHS | MoA02.6, MoA02.8, MoA34.1, MoA37.6, MoB02.17, MoB33.4, MoB34.1, MoC34.1, MoC34.2, MoC34.3, MoC38-02.6, MoC38-02.8, MoC38-03.17, ThA36.1, ThC36.1, ThC36.2, ThC36.4, ThC36.5, TuA36.1, WeA31.2, WeB37.2, WeB37.6, WeC35.3 |
| System identification and adaptive control of distributed parameter systems | FrA16.2, FrB16.6, ThA16.1, TuA02.23, TuC38-01.23, WeB14.2 |
| System structure and control | MoC15.1, MoC15.2, MoC15.5, MoC15.6, ThC05.7, WeA17.1, WeA17.2 |
| Systems biology for biotechnology | MoC24.1, MoC24.4, MoC24.6, MoC25.5, WeB25.5 |
| Systems theoretic properties of distributed parameter systems | FrA16.3, ThB16.3, TuC05.8 |
| Systems-of-systems | FrA19.2, FrB17.1, MoC18.5, TuB19.2, WeA18.2 |
| T | Top |
| Takagi-Sugeno/quasi-LPV model-based control | ThC37.1, ThC37.2, ThC37.3, ThC37.4 |
| Task and motion planning | FrA05.3, FrA05.7, FrB06.5, FrB31.1, FrB32.5, FrB33.5, FrB34.4, MoA32.2, MoA32.6, MoB04.21, MoB05.3, MoB32.1, MoB32.5, MoC38-07.21, ThA32.3, ThA32.4, ThA34.2, ThA34.3, ThA35.6, ThB04.6, ThB04.7, ThB04.11, ThB04.18, ThB04.19, ThB04.20, ThB04.21, ThB04.22, ThB04.23, ThB32.2, ThB34.5, ThC38-05.6, ThC38-05.7, ThC38-05.11, ThC38-05.18, ThC38-05.19, ThC38-05.20, ThC38-05.21, ThC38-05.22, ThC38-05.23, TuA04.23, TuA30.3, TuA30.4, TuA30.5, TuA30.6, TuA32.2, TuA32.5, TuA32.6, TuB32.1, TuB32.4, TuB32.5, TuB32.6, TuC32.1, TuC32.2, TuC32.3, TuC32.4, TuC32.5, TuC32.6, TuC38-04.23, WeA03.2, WeA03.8, WeA03.9, WeA03.10, WeA03.11, WeA03.12, WeA03.13, WeA03.14, WeA03.15, WeA03.16, WeA33.4, WeA33.5, WeA33.6, WeB33.1, WeB33.6, WeC05.5, WeC05.6, WeC19.6, WeC38-02.2, WeC38-02.8, WeC38-02.9, WeC38-02.10, WeC38-02.11, WeC38-02.12, WeC38-02.13, WeC38-02.14, WeC38-02.15, WeC38-02.16 |
| Teleoperation | FrA08.5, FrB31.6, FrB34.3, MoA05.7, MoB04.3, MoC38-07.3, ThB34.1, ThB34.6, ThC34.6, WeA03.5, WeC19.5, WeC19.6, WeC38-02.5 |
| Thermal systems modelling | FrB24.2, FrB30.4, MoA02.17, MoA03.23, MoC02.4, MoC02.5, MoC38-02.17, MoC38-04.23, ThC23.5, TuB20.5, TuB23.4, TuC22.3, WeA22.4, WeB04.6, WeB05.6, WeB22.1, WeB23.5, WeC23.2, WeC23.6, WeC38-05.6 |
| Time series modeling | ThA02.10, ThA02.22, ThA02.23, ThA09.4, ThB03.4, ThB03.5, ThB03.21, ThB08.2, ThB08.3, ThB09.1, ThB09.2, ThB09.3, ThB09.4, ThB09.5, ThB09.6, ThC06.1, ThC09.1, ThC09.3, ThC09.5, ThC38-01.10, ThC38-01.22, ThC38-01.23, ThC38-03.4, ThC38-03.5, ThC38-03.21, TuA06.2, TuC05.1, WeA06.1, WeB03.14, WeB06.5, WeB08.6, WeC07.2, WeC09.5, WeC38-01.14 |
| Time/parameter varying system identification | FrA06.1, FrB08.1, FrB10.5, MoA08.6, MoB09.5, MoB09.6, MoC05.1, MoC07.5, ThA02.5, ThA02.16, ThA09.6, ThA30.4, ThA30.5, ThB03.16, ThB03.22, ThB03.23, ThB03.24, ThB07.3, ThB08.4, ThB08.6, ThC38-01.5, ThC38-01.16, ThC38-03.16, ThC38-03.22, ThC38-03.23, ThC38-03.24, WeA03.17, WeA03.18, WeA03.19, WeA03.20, WeB09.4, WeB09.6, WeC38-02.17, WeC38-02.18, WeC38-02.19, WeC38-02.20 |
| Trajectory and path planning for AVs | FrA26.2, FrA26.3, FrA26.5, FrA26.6, FrA27.2, FrA27.3, FrB27.3, FrB27.4, FrB27.5, FrB27.6, MoA04.12, MoA04.13, MoA27.4, MoA29.6, MoA33.6, MoC38-06.12, MoC38-06.13, ThA04.10, ThA04.19, ThA04.20, ThA28.3, ThA28.4, ThA28.6, ThB28.1, ThB28.2, ThB28.3, ThB28.4, ThB28.5, ThB28.6, ThB29.1, ThB30.1, ThB30.3, ThC28.1, ThC28.2, ThC28.5, ThC29.3, ThC30.2, ThC30.3, ThC38-06.10, ThC38-06.19, ThC38-06.20, TuC02.5, TuC27.2, TuC27.3, WeB36.2, WeB36.4, WeB36.5 |
| Trajectory tracking and path following for AVs | FrA27.1, FrA27.2, FrA27.3, FrA27.4, FrA27.5, FrA27.6, MoA04.2, MoA04.8, MoA04.14, MoA04.15, MoA27.4, MoA29.5, MoB28.4, MoC29.3, MoC38-06.2, MoC38-06.8, MoC38-06.14, MoC38-06.15, ThA04.12, ThA28.2, ThA28.5, ThA28.6, ThB05.8, ThC30.5, ThC38-06.12, TuA20.6, TuB03.5, TuB03.14, TuB03.22, TuC02.6, TuC26.2, TuC38-06.5, TuC38-06.14, TuC38-06.22, WeB26.3, WeB26.6, WeB36.3, WeC36.4 |
| Transportation logistics | MoA04.16, MoB03.23, MoC38-05.23, MoC38-06.16, ThC02.4, WeA36.4, WeA36.5 |
| Transportation networks | MoC22.4, ThA10.6, WeB22.5 |
| U | Top |
| Uncertain systems | FrB01.3, FrB02.4, MoA04.17, MoA04.19, MoA13.6, MoA14.2, MoA16.3, MoA16.4, MoB13.5, MoB13.6, MoB16.3, MoC37.5, MoC38-06.17, MoC38-06.19, ThC13.5, ThC14.1, ThC15.2, ThC15.4, ThC17.1, ThC17.2, ThC17.6, TuA04.15, TuA04.20, TuA05.5, TuA16.2, TuA16.4, TuA16.5, TuA16.6, TuB02.8, TuB02.9, TuB16.4, TuC38-03.8, TuC38-03.9, TuC38-04.15, TuC38-04.20, WeA02.18, WeA02.19, WeA04.23, WeA13.1, WeA13.3, WeA17.5, WeC16.5, WeC17.1, WeC38-03.18, WeC38-03.19, WeC38-06.23 |
| Unidirectionally connected FASs | FrB03.5, MoC03.6 |
| Urban air mobility | TuA26.1, TuA26.5, TuB26.2 |
| Urban energy distribution systems | MoA33.4, MoA37.2, MoA37.3, MoB37.5, MoC30.2, MoC36.1, MoC36.2, MoC36.3, MoC36.5, ThC11.4, ThC11.5, TuB34.4, TuB34.5, TuC34.4, WeA37.3, WeA37.5, WeA37.6 |
| Usage of LLM for failure mode and effects analysis | ThC04.4, ThC04.5 |
| V | Top |
| Variable autonomy | MoA32.4, ThC34.3, ThC34.5 |
| Vehicle dynamic systems | FrA30.6, MoA19.6, MoA26.5, MoB26.5, ThA04.13, ThA13.5, ThA31.2, ThA31.3, ThB05.8, ThB17.2, ThB17.4, ThB17.5, ThB30.4, ThB30.5, ThB30.6, ThC07.5, ThC28.6, ThC31.1, ThC31.2, ThC31.4, ThC31.5, ThC38-06.13, TuB03.4, TuB03.7, TuB03.8, TuB03.16, TuB03.21, TuB03.23, TuC02.3, TuC38-06.4, TuC38-06.7, TuC38-06.8, TuC38-06.16, TuC38-06.21, TuC38-06.23, WeA09.6, WeB26.5, WeB36.2, WeC02.1, WeC02.4, WeC16.1 |
| Viable and resilient supply chain and production | FrB17.5, FrB17.6, MoA22.6, MoC18.6, MoC35.2, TuB18.1, TuC18.6 |
| Virtualized and cloud-based control architectures | MoA23.5, TuA02.18, TuA03.7, TuC38-01.18, TuC38-02.7 |
| W | Top |
| Wastewater treatment processes | TuB24.4, TuB24.5, TuB24.6, WeB24.5 |
| Water distribution systems | FrA30.5, FrB01.5, WeC35.6 |
| Water resource system modeling and control | ThA24.1, WeA24.3, WeB05.7, WeC24.2, WeC24.3, WeC24.4, WeC24.5, WeC24.6 |
| Water-food-energy nexus | TuB24.1 |
| Wearable computing systems | FrB34.5 |
| Wearable robotics | FrB33.4, ThA34.5, ThC35.1, ThC35.2, ThC35.3, ThC35.4, ThC35.5, ThC35.6, WeA03.21, WeA03.22, WeC38-02.21, WeC38-02.22 |
| Wind power | FrA21.1, FrA21.2, FrA21.3, FrA21.4, FrA21.5, FrB30.5, MoA03.16, MoA03.17, MoA20.1, MoA20.4, MoA20.5, MoA21.6, MoC38-04.16, MoC38-04.17, ThA05.1, ThA22.5, ThB21.1, ThB21.2, ThB21.3, ThB21.4, ThB21.5, ThB21.6, ThC21.6, ThC22.6, TuA21.6, TuC22.4, TuC22.5, TuC22.6, WeB04.14, WeB04.20, WeB04.21, WeB04.22, WeB05.8, WeC23.3, WeC38-05.14, WeC38-05.20, WeC38-05.21, WeC38-05.22 |
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