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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/50162


    Title: Studies on linear matrix inequality relaxations for fuzzy control systems via homogeneous polynomials
    Authors: Lo,JC;Wan,JR
    Contributors: 機械工程學系
    Keywords: DEPENDENT LYAPUNOV FUNCTIONS;NONLINEAR-SYSTEMS;LMI CONDITIONS;STABILIZATION CONDITIONS;QUADRATIC STABILITY;ROBUST STABILITY;OBSERVERS;DESIGNS;THEOREM;FORM
    Date: 2010
    Issue Date: 2012-03-27 17:05:03 (UTC+8)
    Publisher: 國立中央大學
    Abstract: In this study, the authors investigate a relaxed condition characterised by parameter-dependent linear matrix inequality (PD-LMI) in terms of firing strength belonging to the unit simplex, exploiting the algebraic property of Polya's theorem to construct a family of finite-dimensional LMI relaxations. The main contribution of this study is that sets of relaxed LMI are parameterised in terms of the polynomial degree d. As d increases, progressively less conservative LMI conditions are generated, being easier satisfied owing to more freedom provided by new variables involved. Another protruding feature is that a verifiable necessary condition is derived. Furthermore, the new relaxation results for PD-LMI is shown to include and generalise all previous results on quadratic (common P) stability approach. Lastly, numerical experiments for illustrating the advantage of relaxation, being less conservative and effective, are provided.
    Relation: IET CONTROL THEORY AND APPLICATIONS
    Appears in Collections:[機械工程學系] 期刊論文

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