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    Fuzzy model-based robust H∞ filtering for a class of nonlinear nonhomogeneous Markov jump systems

    Access Status
    Fulltext not available
    Authors
    Yin, Y.
    Shi, P.
    Liu, F.
    Teo, Kok Lay
    Date
    2013
    Type
    Journal Article
    
    Metadata
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    Abstract

    This paper studies the problem of robust fuzzy H∞ filtering for a class of uncertain nonlinear discrete-time Markov jump systems with nonhomogeneous jump transition probabilities. The Takagi and Sugeno fuzzy model is employed to represent such nonlinear nonhomogeneous Markov jump system with norm-bounded parameter uncertainties. By Lyapunov function approach, under the designed mode-dependent and variation-dependent fuzzy filter which includes the membership functions, a sufficient condition is presented to ensure that the filtering error dynamic system is stochastically stable and has a prescribed H∞ performance index. An example is given to demonstrate the effectiveness and advantages of the proposed techniques.

    Citation
    Yin, Y. and Shi, P. and Liu, F. and Teo, K.L. 2013. Fuzzy model-based robust H∞ filtering for a class of nonlinear nonhomogeneous Markov jump systems. Signal Processing. 93 (9): pp. 2381-2391.
    Source Title
    Signal Processing
    DOI
    10.1016/j.sigpro.2013.03.003
    ISSN
    0165-1684
    URI
    http://hdl.handle.net/20.500.11937/30099
    Collection
    • Curtin Research Publications

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