The paper deals with the problem of non-fragile observer-based passive control for a class of Markovian jumping systems (MJSs) subjected to uncertainties, nonlinearities and time-delays. Based on the Takagi–Sugeno fuzzy models, the dynamics of mode-dependent non-fragile state observer and feedback controller system and the combined closed-loop fuzzy dynamic MJSs are constructed. A sufficient condition for passivity and stochastic stability of the combined system is derived and proved by means of the Lyapunov–Krasovskii functional methods and linear matrix inequalities (LMIs) techniques. The non-fragile passive controller and observer parameters can be solved directly by using the existing LMIs optimization techniques. Finally, a numerical simulation is given to illustrate the performance of the proposed approach.


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    Titel :

    Non-fragile passive controller design for nonlinear Markovian jumping systems via observer-based controls


    Beteiligte:
    He, Shuping (Autor:in)

    Erschienen in:

    Neurocomputing ; 147 , Special Issue: Advances in Self-Organizing Maps


    Erscheinungsdatum :

    2015


    Format / Umfang :

    8 Seiten, 35 Quellen




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch





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