Decentralized adaptive variable structure control based on fuzzy logic

Author

Zhang, Tian-Ping ; Feng, Chun-Bo ; Dou, Zhen-Zhong

Author_Institution

Dept. of Math., Yangzhou Univ., China

Volume

1

fYear

1997

fDate

28-31 Oct 1997

Firstpage

359

Abstract

The problem of decentralized adaptive fuzzy control for a class of large-scale nonlinear systems with unknown constant control gains is studied in this paper. A new method is proposed to design a decentralized, adaptive, fuzzy, variable-structure controller. The design is capable of incorporating linguistic and numerical information into the controller. By using the Lyapunov method, the decentralized adaptive fuzzy control system is proved to be globally stable, with tracking errors converging to a neighborhood of zero

Keywords

Lyapunov methods; adaptive control; control system synthesis; convergence; decentralised control; fuzzy control; nonlinear control systems; stability; tracking; variable structure systems; Lyapunov method; controller design method; decentralized adaptive fuzzy control; globally stable system; large-scale nonlinear systems; linguistic information; numerical information; tracking error convergence; unknown constant control gains; variable-structure controller; Adaptive control; Adaptive systems; Control systems; Error correction; Fuzzy control; Large-scale systems; Lyapunov method; Nonlinear control systems; Nonlinear systems; Programmable control;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Processing Systems, 1997. ICIPS '97. 1997 IEEE International Conference on

Conference_Location

Beijing

Print_ISBN

0-7803-4253-4

Type

conf

DOI

10.1109/ICIPS.1997.672800

Filename

672800