Meiho University Institutional Repository:Item 987654321/1822
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    题名: A Fuzzy Lyapunov LMI Criterion to a Chaotic System
    作者: K.Yeh
    C.W.Chen
    C.Y.Chen
    D.C.Lo
    P.Y.Chung
    关键词: Fuzzy Lyapunov method
    linear matrix inequality
    日期: 2012
    上传时间: 2012-09-26T01:26:14Z (UTC)
    摘要: In terms of the Fuzzy Lyapunov method, this work proposes stability conditions for fuzzy logic control (FLC). Their application for chaotic systems can be approximated by the Tagagi-Sugeno (T-S) fuzzy model. The fuzzy Lyapunov function is defined as a fuzzy blending of quadratic Lyapunov functions. External forces or disturbances are not
    considered in the controlled systems. In the design controller procedure, a parallel distributed compensation (PDC)scheme is utilized to construct a global FLC by blending all linear local state feedback controllers. The stability criteria are found not only for fuzzy modeling but also for a real chaotic system. Furthermore, this controller design problem can be reduced to a linear matrix inequality (LMI) problem by use of the Schur Complements. Efficient
    interior-point algorithms are now available in Matlab toolbox to solve this type of problem.
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