Title :
Fuzzy control of ε-varying singularly perturbed systems
Author_Institution :
Lab. d´´Autom. des Arts et Metiers, CNAM, Paris, France
Abstract :
Deals with the problem of singularly perturbed systems when the parameter ε, representing the ratio speed between the fast and slow dynamics, is time-varying. We show that using an adequate fuzzy partition of ε, we can combine techniques of fuzzy control and singular perturbations to control the system. The parameter ε, may be only partially known (known only on some particular “representative” points). The lack of information is recovered using a method of fuzzy approximation, that provides in the same time the partition required to build the control law. The paper ends with an illustrative example
Keywords :
asymptotic stability; control system synthesis; fuzzy control; partial differential equations; singularly perturbed systems; time-varying systems; uncertain systems; ε-varying singularly perturbed systems; fast dynamics; fuzzy approximation; fuzzy partition; slow dynamics; Capacitive sensors; Control systems; Fuzzy control; Fuzzy sets; Fuzzy systems; Integral equations; Lakes; Partial differential equations; Process control; Robust control;
Conference_Titel :
American Control Conference, 2000. Proceedings of the 2000
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-5519-9
DOI :
10.1109/ACC.2000.879203