Title :
Observer-based robust fuzzy control of nonlinear discrete systems with parametric uncertainties
Author :
Gong, Chang-Zhong ; Li, Li ; Wang, Wei
Author_Institution :
Dept. of Math., Bohai Univ., Jinzhou, China
Abstract :
This paper addresses the robust fuzzy control problem for nonlinear systems in the presence of parametric uncertainties and the state variables unavailable for measurement. The Tagaki-Sugeno (T-S) discrete fuzzy model system with parametric uncertainties is adopted for modeling the nonlinear system and establishing a fuzzy observer. Sufficient conditions are derived for robust stabilization in the sense of Lyapunov asymptotic stability and are formulated in the format of linear matrix inequalities (LMIs).
Keywords :
Lyapunov methods; asymptotic stability; control system synthesis; discrete systems; fuzzy control; linear matrix inequalities; nonlinear systems; observers; robust control; Lyapunov asymptotic stability; Tagaki-Sugeno discrete fuzzy model system; discrete fuzzy model system; fuzzy observer; linear matrix inequality; nonlinear discrete system; observer-based robust fuzzy control; parametric uncertainty; Control systems; Fuzzy control; Fuzzy systems; Mathematical model; Nonlinear control systems; Nonlinear systems; Output feedback; Robust control; Stability; Uncertainty;
Conference_Titel :
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Print_ISBN :
0-7803-8403-2
DOI :
10.1109/ICMLC.2004.1380710
