Stability Analysis of Adaptive Optimal Fuzzy Control Systems

Author

Wang, Yufei ; Zhang, Jianwei ; Xue, Hua

Author_Institution

Dept. of Electr. Eng., Shanghai Univ. of Electr. Power, Shanghai, China

Volume

1

fYear

2009

fDate

7-8 Nov. 2009

Firstpage

523

Lastpage

527

Abstract

This paper deals with the stability analysis of a class of T-S fuzzy systems. Based on the piecewise fuzzy Lyapunov function, an adaptive optimal fuzzy control design method for stabilization of T-S fuzzy system is derived. This method reduces the conservatism of both piecewise Lyapunov function and fuzzy Lyapunov function. The stability condition obtained is more relaxed and the control system has good performance. The efficiency of the method is illustrated through the simulation of some numerical examples.

Keywords

Lyapunov methods; adaptive control; control system synthesis; fuzzy control; optimal control; stability; T-S fuzzy system; adaptive optimal fuzzy control system; control design; piecewise fuzzy Lyapunov function; stability analysis; Adaptive control; Artificial intelligence; Bismuth; Computational intelligence; Control systems; Fuzzy control; Fuzzy systems; Lyapunov method; Programmable control; Stability analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-4244-3835-8

Electronic_ISBN

978-0-7695-3816-7

Type

conf

DOI

10.1109/AICI.2009.132

Filename

5376292