Observer-based adaptive fuzzy control design for a class of nonaffine nonlinear systems

Author

Yu, Wen-Shyong

Author_Institution

Dept. of Electr. Eng., Tatung Univ., Taipei

fYear

2008

fDate

12-15 Oct. 2008

Firstpage

2013

Lastpage

2017

Abstract

In this paper, a novel observer-based adaptive fuzzy control scheme is proposed for nonaffine nonlinear systems with unknown structure of nonlinearities. The Takagi-Sugeno (T-S) fuzzy model is used for representing the nonaffine part of the system, where the parameters of the fuzzy model are updated online according to Lyapunov stability theorem. Based on Lyapunov theory, the stability of the closed-loop system can be guaranteed, and all signals involved are bounded. To demonstrate the effectiveness of the proposed method, simulation results are illustrated in this paper. The performance of the proposed scheme is evaluated through the simulation results. Simulations are given to show the validity and confirm the performance of the proposed scheme.

Keywords

Lyapunov methods; adaptive control; closed loop systems; control system synthesis; fuzzy control; nonlinear control systems; observers; stability; Lyapunov stability theorem; Takagi-Sugeno fuzzy model; closed-loop system; nonaffine nonlinear system; observer-based adaptive fuzzy control design; Adaptive control; Automatic control; Control systems; Fuzzy control; Fuzzy neural networks; Fuzzy systems; Lyapunov method; Nonlinear control systems; Nonlinear systems; Programmable control; Lyapunov stability theorem; Takagi-Sugeno (TS) fuzzy model; nonaffine nonlinear systems; robustness;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man and Cybernetics, 2008. SMC 2008. IEEE International Conference on

Conference_Location

Singapore

ISSN

1062-922X

Print_ISBN

978-1-4244-2383-5

Electronic_ISBN

1062-922X

Type

conf

DOI

10.1109/ICSMC.2008.4811586

Filename

4811586