Fuzzy controller and observer design for nonlinear system-LMI method

Author

Wu, Zhongqiang ; Xu, Shifan ; Yue, Dong ; Liu, Fucai

Author_Institution

Coll. of Electr. Eng., Yan Shan Univ., Hebei, China

Volume

3

fYear

2002

fDate

2002

Firstpage

1920

Abstract

A fuzzy controller and observer design for a nonlinear system are studied based on LMI. The global asymptotically stable fuzzy controller and observer is gained, using the T-S fuzzy dynamic model approaching a nonlinear system and using a parallel distributed compensation method. The parameters of the fuzzy controller and fuzzy observer are obtained by the convex optimal method of LMI. The simulation of an inverted pendulum tested the efficiency of the design method.

Keywords

asymptotic stability; compensation; control system synthesis; fuzzy control; matrix algebra; nonlinear control systems; observers; robust control; LMI method; Linear Matrix Inequalities; T-S fuzzy dynamic model; convex optimal method; fuzzy controller; fuzzy observer; global asymptotic stability; inverted pendulum; nonlinear system; observer design; parallel distributed compensation method; simulation; Control systems; Design engineering; Educational institutions; Electrical engineering; Electronic mail; Fuzzy control; Fuzzy systems; Nonlinear control systems; Nonlinear dynamical systems; Nonlinear systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on

Print_ISBN

0-7803-7268-9

Type

conf

DOI

10.1109/WCICA.2002.1021418

Filename

1021418