DocumentCode
1714534
Title
Adaptive fuzzy control of nonaffine nonlinear systems using Takagi-Sugeno fuzzy models
Author
Yoon, Pil-Sang ; Park, Jang-hyun ; Park, Gwi-Tae
Author_Institution
Sch. of Electr. Eng., Korea Univ., Seoul, South Korea
Volume
2
fYear
2001
Firstpage
642
Abstract
We present a control method for a general nonlinear systems using Takagi-Sugeno fuzzy models and develop an adaptation law to adjust the parameters of the fuzzy system. It is proved that the closed-loop system is stable in the sense of Lyapunov and all signals including tracking error, fuzzy parameters and estimate of upper bound for approximation error are bounded. Finally, simulation results verify the effectiveness of the proposed control method.
Keywords
adaptive control; closed loop systems; fuzzy control; nonlinear control systems; Takagi-Sugeno fuzzy models; adaptation law; adaptive fuzzy control; approximation error; closed-loop system; fuzzy parameters; general nonlinear systems; nonaffine nonlinear systems; simulation results; tracking error; upper bound; Adaptive control; Approximation error; Fuzzy control; Fuzzy systems; Nonlinear control systems; Nonlinear systems; Parameter estimation; Programmable control; Takagi-Sugeno model; Upper bound;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 2001. The 10th IEEE International Conference on
Print_ISBN
0-7803-7293-X
Type
conf
DOI
10.1109/FUZZ.2001.1009036
Filename
1009036
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