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    ASIA unversity > 資訊學院 > 資訊工程學系 > 會議論文 >  Item 310904400/79144

    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/79144

    Title: A fuzzy lyapunov function approach to stabilize uncertain nonlinear systems using improved random search method
    Authors: 黃景東;J.D.Hwang;蔡志仁;Tsai, Zhi-Ren
    Contributors: 資訊工程學系
    Date: 2008.10
    Issue Date: 2013-12-26 19:06:23 (UTC+8)
    Abstract: This paper addresses stability analysis and stabilization for Takagi-Sugeno (T-S) fuzzy systems with model uncertainties via a so-called fuzzy Lyapunov function, which is a multiple Lyapunov function. The advantage of the fuzzy Lyapunov function is that the controller design is not restricted by a common positive definite matrix (i.e., the common P) to form the quadratic Lyapunov function. Based on the fuzzy Lyapunov function approach and a parallel distributed compensation (PDC) scheme, we provide stabilization conditions for closed-loop fuzzy systems with model uncertainties. Furthermore, we propose a compound search strategy composed of island random optimal algorithms concatenated with the Simplex method to identify the chaotic systems, and to solve the linear matrix inequality (LMI) problem.
    Relation: Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
    Appears in Collections:[資訊工程學系] 會議論文

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