Title :
Fuzzy feedback linearization control for nonlinear systems
Author :
Weihua, Gao ; Jianying, Xie
Author_Institution :
Shanghai Jiaotong Univ., China
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;
Conference_Titel :
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location :
Hefei
Print_ISBN :
0-7803-5995-X
DOI :
10.1109/WCICA.2000.862721
