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An Improved Fuzzy Modeling Method for a Class of Multi-Input Non-affine Nonlinear Systems

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  • Shun-Hung Tsai

    (National Taipei University of Technology)

Abstract

In this paper, an improved fuzzy modeling method is developed for a class of non-affine nonlinear systems. The idea comes from the concepts of the optimization tools and the Takagi–Sugeno fuzzy modeling technique. Specifically, this method is suitable especially for non-affine nonlinear systems. Two benchmark single-input and one multi-input non-affine nonlinear systems are illustrated to show that the proposed modeling scheme is superior to existing modeling methods.

Suggested Citation

  • Shun-Hung Tsai, 2013. "An Improved Fuzzy Modeling Method for a Class of Multi-Input Non-affine Nonlinear Systems," Journal of Optimization Theory and Applications, Springer, vol. 157(1), pages 287-296, April.
  • Handle: RePEc:spr:joptap:v:157:y:2013:i:1:d:10.1007_s10957-012-0177-4
    DOI: 10.1007/s10957-012-0177-4
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