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
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;
Conference_Titel :
Fuzzy Systems, 2001. The 10th IEEE International Conference on
Print_ISBN :
0-7803-7293-X
DOI :
10.1109/FUZZ.2001.1009036
