DocumentCode :
323360
Title :
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
Link To Document :
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