DocumentCode :
420615
Title :
Fuzzy adaptive output feedback control for nonlinear MIMO systems based on observer
Author :
Yiqian, Tang ; Jianhui, Wang ; Shusheng, Gu ; Fengying, Qi
Author_Institution :
Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
Volume :
1
fYear :
2004
fDate :
15-19 June 2004
Firstpage :
506
Abstract :
Fuzzy adaptive control method based on observer is proposed for a class of MIMO nonlinear systems. In the design process, the approximation capability of the fuzzy logic system is used, a kind of high-gain observer is introduced, and the output feedback control law and the parameter adaptive law are derived by using Lyapunov method. This control method considers the existence of approximation error and the system´s external disturbance, which have an unknown boundary and need not the assumption of measurements of states. It is proved that the tracking performance of the output feedback control can achieve that of the state feedback control.
Keywords :
Lyapunov methods; MIMO systems; adaptive control; approximation theory; fuzzy control; fuzzy systems; nonlinear control systems; observers; state feedback; Lyapunov method; approximation error; fuzzy adaptive control; fuzzy logic system; high gain observer; nonlinear MIMO systems; output feedback control law; parameter adaptive law; state feedback control; Adaptive control; Control systems; Fuzzy control; Fuzzy systems; MIMO; Nonlinear control systems; Nonlinear systems; Output feedback; Process design; Programmable control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
Print_ISBN :
0-7803-8273-0
Type :
conf
DOI :
10.1109/WCICA.2004.1340625
Filename :
1340625
Link To Document :
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