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

Volume

1

fYear

2004

fDate

26-29 Aug. 2004

Firstpage

367

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on

Print_ISBN

0-7803-8403-2

Type

conf

DOI

10.1109/ICMLC.2004.1380710

Filename

1380710