Keywords: Energy Systems, Nonlinear Control, System and Uncertainty Modeling
Abstract: In the current context of climate change and a revolution in the energy system, electrochemical energy systems are gaining significant relevance. These systems include hydrogen systems, lithium-ion batteries, and redox flow batteries, among others. These types of systems exhibit nonlinear dynamics with a large number of variables that are difficult to measure but contain key information for effective energy management. During the talk, various case studies will be presented, along with the analysis conducted to address the problem and proposed solutions. In addition to conceptual developments, some experimental results and current issues will be discussed.

Keywords: Fault Detection, Geometric Approaches
Abstract: The goal of the paper is to provide a fairly complete overview on geometric approaches to design detection filters for (q)LPV systems, which can include LTI, LTV and certain input affine nonlinear systems. First, as illustration ,the fundamental problem of the residual generation FPRG will be solved based on the concept of LPV invariant subspaces. Then different other detection approaches for filter design will be presented, i.e., inversion based approaches and also null-space based methods will be elaborated.

Keywords: Automotive Dynamics, Uncertain Systems - LPVS, Predictive Control

Keywords: Automotive Dynamics, Predictive Control, Optimal Control

Keywords: Uncertain Systems - LPVS, Automotive Dynamics, Other Applications of LPV Systems
Abstract: This paper presents the approach of hierarchical framework that is developed for improving the performance level of Linear Parameter-Varying (LPV) control systems. The improvement is achieved through learning methods and the hierarchical framework is built-in the training process. An overview on the design method is introduced, focusing on the performance improvement of controller within the loop. The provided framework incorporates three elements, such as the learning-based agent, the LPV-based control, and the supervisor that guarantees the coordination between the previous two elements. The paper presents an application possibility of the methods, focusing on the design of autonomous vehicle control.

Keywords: Fault Tolerant Control, Automotive Dynamics, Fault Detection

Keywords: Uncertain Systems - LPVS, Automotive Dynamics, Other Applications of LPV Systems
Abstract: In this paper, an LPV-based control design framework is presented, in which a reformulated ultra-local model is integrated. The limitations of the original ultra-local model-based control structure are analyzed, and a modified version of it is proposed. The key concept of this approach is to integrate the whole modified ultra-local model into the polytopic modeling framework. This results in an extended state-space model, the basis for the LPV control design. The model uncertainty is handled by the ultra-local model, while the stability requirements are guaranteed by the LPV controller. Moreover, the tuning parameter of the ultra-local model is handled as a scheduling parameter of the LPV controller. The effectiveness and operation of the proposed control algorithm are demonstrated through a vehicle-oriented application.