Journal of the Korean Institute of Intelligent Systems (한국지능시스템학회논문지)

Korean Institute of Intelligent Systems (한국지능시스템학회)
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A Robust Indirect Adaptive Fuzzy State Feedback Regulator Based on Takagi-Sugeno Fuzzy Model

  • Hyun, Chang-Ho (ICS Lab., Dept. of Electrical and Electronic Eng., Yonsei Univ.) ;
  • Park, Chang-Woo (ICS Lab., Dept. of Electrical and Electronic Eng., Yonsei Univ.) ;
  • Park, Mignon (ICS Lab., Dept. of Electrical and Electronic Eng., Yonsei Univ.)
  • Published : 2002.12.01
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Abstract

In this paper, we propose a robust indirect adaptive fuzzy state feedback regulator based on Takagi-Sugeno fuzzy model. The proposed adaptive fuzzy regulator is less sensitive to singularity than the conventional one based on the feedback linearization method. Furthermore, the proposed control method is applicable to not only plants with a perfect model but also plants with an imperfect model, which causes uncertainties. We verify the global stability of the proposed method by using Lyapunov method. In order to support the achievement, the application of the proposed adaptive fuzzy regulator to the control of a nonlinear system under the external disturbance is presented and the performance was verified by some simulation result.

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