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    National Tsing Hua University Institutional Repository > 電機資訊學院 > 電機工程學系 > 會議論文  >  Robust static output feedback fuzzy control design for a class of nonlinear stochastic systems

    Please use this identifier to cite or link to this item: http://nthur.lib.nthu.edu.tw/dspace/handle/987654321/69371

    Title: Robust static output feedback fuzzy control design for a class of nonlinear stochastic systems
    Authors: C. S. Tseng;B. S. Chen
    教師: 陳博現
    Date: 2010
    Publisher: Institute of Electrical and Electronics Engineers
    Relation: Fuzzy Systems (FUZZ), 2010 IEEE International Conference on, Barcelona, Spain, 18-23 July 2010, Pages 1-6
    Keywords: feedback
    nonlinear stochastic systems
    Abstract: This paper describes the robust static output feedback H∞ fuzzy control design for a class of nonlinear stochastic systems. The system dynamic is modelled by Itô-type stochastic differential equations. For general nonlinear stochastic systems, the H∞ control can be obtained by solving a second-order nonlinear Hamilton-Jacobi inequality. In general, it is difficult to solve the second-order nonlinear Hamilton-Jacobi inequality. Using fuzzy approach (T-S fuzzy model), the H∞ fuzzy control design for the nonlinear stochastic systems can be given via solving linear matrix inequalities (LMIs) instead of a second-order Hamilton-Jacobi inequality. A singular value decomposition (SVD) method is proposed in this study to solve the H∞ static output feedback fuzzy control problem. By the proposed SVD method, the problem of H∞ static output feedback fuzzy control design for nonlinear stochastic systems is characterized in terms of solving an eigenvalue problem (EVP). This EVP can be easily solved by using a LMI-based optimization method. Simulation example is provided to illustrate the design procedure and the expected performances.
    Relation Link: http://www.ieee.org/
    URI: http://nthur.lib.nthu.edu.tw/dspace/handle/987654321/69371
    Appears in Collections:[電機工程學系] 會議論文

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