Fuzzy adaptive linearizing control for non-affine systems.

被引：0
|
作者：
Boukezzoula, R [1 ]
Galichet, S [1 ]
Foulloy, L [1 ]
机构：
[1] Univ Savoie, Lab Informat Syst Traitement Informat & Connaiss, F-74016 Annecy, France
来源：
PROCEEDINGS OF THE 12TH IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1 AND 2 | 2003年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The aim of this paper is to examine the feedback linearization technique for unknown non affine-in-control systems. As the nonlinear plant is assumed to be unknown, an adaptive Takagi-Sugeno fuzzy system is used to represent it. Based on the error between the nonlinear plant and the adapted fuzzy model, the parameters of the latter are updated according to Lyapunov synthesis. Then, at each sampling time, the linearizing controller is obtained by inversion of the fuzzy model. The closed-loop control structure stability is guaranteed using Lyapunov analysis. An illustrative simulation example is given to demonstrate the feasibility of the proposed method.
引用
收藏
页码：543 / 548
页数：6
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