Ariño, Carlos (Universitat Jaume I), Sala, Antonio (Universitat Politecnica de Valencia)

Minimal Controllable Set for Takagi-Sugeno Fuzzy Systems with Disturbances

Scheduled for presentation during the Invited Session "Recent advances in fuzzy model-based design: theory and applications" (WeBSP), Wednesday, August 21, 2019, 15:40−16:00,

5th IFAC International Conference on Intelligent Control and Automation Sciences, August 21-23, 2019, Queen’s University Belfast, Northern Ireland

This information is tentative and subject to change. Compiled on October 16, 2021

Abstract

In this paper, an approximation of the smallest set (in a given norm) to which the state of a system can be steered (and kept inside once reached) is provided, when bounded disturbances are present. A non-LMI geometric polytope-manipulation approach is pursued over a Takagi-Sugeno model in order to solve this disturbance-rejection setup. Once this set is available, the techniques in this paper compute, too, explicit controllers driving initial conditions to such set, as well as controllers that make this set invariant. This work generalises the earlier particular undisturbed case (i.e., just stabilization) developed in Ari˜no et al. (2017b).