Decentralized adaptive fuzzy control for large-scale nonlinear systems

被引：35
|
作者：
Zhang, TP
Feng, CB
机构：
[1] Department of Mathematics, Teachers College, Yangzhou University, Yangzhou
来源：
FUZZY SETS AND SYSTEMS | 1997年 / 92卷 / 01期
关键词：
fuzzy control; fuzzy systems; large-scale systems; sliding mode control; adaptive control; decentralized control; global stability;
D O I：
10.1016/S0165-0114(96)00167-4
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
A decentralized adaptive fuzzy control scheme for a class of large-scale nonlinear systems is proposed in this paper. The design is based on the principle of sliding mode control and the approximation capability of fuzzy systems. The control architecture employs decentralized fuzzy systems to adaptively compensate for plant uncertainties. By using the Lyapunov function method, the control algorithm is proved to be globally stable, with tracking errors converging to a neighborhood of zero. (C) 1997 Elsevier Science B.V.
引用
收藏
页码：61 / 70
页数：10
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