DocumentCode
353972
Title
Fuzzy feedback linearization control for nonlinear systems
Author
Weihua, Gao ; Jianying, Xie
Author_Institution
Shanghai Jiaotong Univ., China
Volume
3
fYear
2000
fDate
2000
Firstpage
1536
Abstract
Based on the T-S fuzzy model, a design method for a fuzzy feedback linearization system is investigated. For systems with uncertainties, a sufficient condition to make closed system L2-stabilization is proposed using the small gain theorem, and the bound of uncertainties is given. The simulation shows the fuzzy feedback linearization is a valid method to control nonlinear systems
Keywords
closed loop systems; control system analysis; control system synthesis; feedback; fuzzy control; fuzzy systems; linearisation techniques; nonlinear control systems; stability; uncertain systems; T-S fuzzy model; Takagi-Sugeno fuzzy model; closed system L2-stabilization; design method; fuzzy feedback linearization control; small gain theorem; sufficient condition; uncertainties bound; Control system synthesis; Control systems; Design methodology; Fuzzy control; Fuzzy systems; Linear feedback control systems; Nonlinear control systems; Nonlinear systems; Sufficient conditions; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location
Hefei
Print_ISBN
0-7803-5995-X
Type
conf
DOI
10.1109/WCICA.2000.862721
Filename
862721
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