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Adaptive fuzzy control for strict-feedback canonical nonlinear systems with H tracking performance

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4 Author(s)
Wei-Yen Wang ; Dept. of Electron. Eng., Fu-Jen Catholic Univ., Taipei, Taiwan ; Mei-Lang Chan ; Tsu-Tian Lee, ; Cheng-Hsin Liu

In this paper, an adaptive fuzzy controller for strict-feedback canonical nonlinear systems is proposed. The completely unknown nonlinearities and disturbances of the systems are considered. Since fuzzy logic systems can uniformly approximate nonlinear continuous functions to arbitrary accuracy, the adaptive fuzzy control theory is employed to derive the control law for the strict-feedback system with unknown nonlinear functions and disturbances. Moreover, H tracking performance is applied to substantially attenuate the effect of the modeling errors and disturbances. Finally, examples are simulated to confirm the applicability of the proposed methods.

Published in:

Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on  (Volume:30 ,  Issue: 6 )

Date of Publication:

Dec 2000

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