The adaptive control of nonlinear systems using the Sugeno-type of fuzzy logic

Author

Tsay, Dong-Ling ; Chung, Hung-Yuan ; Lee, Ching-Jung

Author_Institution

Dept. of Electr. Eng., Nat. Central Univ., Chung-Li, Taiwan

Volume

7

Issue

2

fYear

1999

fDate

4/1/1999 12:00:00 AM

Firstpage

225

Lastpage

229

Abstract

An adaptive fuzzy controller is synthesized from a collection of fuzzy IF-THEN rules. The parameters of the membership functions characterizing the linguistic terms in the fuzzy IF-THEN rules are changed according to some adaptive laws for the purpose of controlling a plant to track a reference trajectory. In the paper, a direct adaptive fuzzy control design method is developed for the general higher order nonlinear continuous systems. We use the Sugeno-type of the fuzzy logic system to approximate the controller. It is proved that the closed-loop system using this adaptive fuzzy controller is globally stable in the sense that all signals involved are bounded. Finally, we apply the method of direct adaptive fuzzy controllers to control an unstable system

Keywords

adaptive control; asymptotic stability; closed loop systems; control system synthesis; fuzzy control; fuzzy logic; nonlinear control systems; Sugeno-type fuzzy logic; adaptive fuzzy controller; closed-loop system; fuzzy IF-THEN rules; general higher order nonlinear continuous systems; linguistic terms; membership functions; Adaptive control; Continuous time systems; Control system synthesis; Control systems; Design methodology; Fuzzy control; Fuzzy systems; Nonlinear systems; Programmable control; Trajectory;

fLanguage

English

Journal_Title

Fuzzy Systems, IEEE Transactions on

Publisher

ieee

ISSN

1063-6706

Type

jour

DOI

10.1109/91.755402

Filename

755402