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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/26317

Title: Robust Passive Fuzzy Control Design for Uncertain Stochastic T-S Fuzzy Model
Authors: C. C. Ku;P. H. Huang;W. J. Chang;C. L. Lu
Contributors: 國立臺灣海洋大學:輪機工程學系
Keywords: Stochastic nonlinear system;Takagi-Sugeno fuzzy model;Linear Matrix Inequality
Date: 2008
Issue Date: 2011-10-20T08:34:47Z
Publisher: 16th National Conference on Fuzzy Theory and Its Applications
Abstract: Abstract:The stability and stabilization issues of uncertain stochastic nonlinear system with disturbance were studied in this paper. Through applying the T-S fuzzy model approach, the stability analysis and synthesis problems of nonlinear systems can be solved by linear technique. Based on passive theory and Lyapunov function, the sufficient stability and stabilization conditions can be derived by Ito’s formula. Besides, the time varying parameters of system were assumed with an upper varying bounded for representing the uncertainties of systems. In order to apply the convex optimization algorithm, the sufficient stability condition must be converted into Linear Matrix Inequality (LMI) problem. Finally, the numerical example was proposed to illustrate the application and effectiveness of proposed fuzzy controller design method in this paper.
Relation: pp.P0027
URI: http://ntour.ntou.edu.tw/handle/987654321/26317
Appears in Collections:[輪機工程學系] 演講及研討會

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