This article presents a singular system approach to the reliable H ∞ static output feedback (SOF) control for continuous-time nonlinear systems with Markovian jumping actuator faults. The approximation of nonlinear plants is carried out in a Takagi–Sugeno fuzzy-affine (FA) environment, and the Markov chain is adopted to characterize the actuator failure phenomenon. Specifically, by utilizing a singular model transformation strategy, the traditional closed-loop system is converted into a singular FA system. With the construction of a mode-dependent Lyapunov function, and invoking S-procedure and some convexifying techniques, the reliable piecewise SOF controller design is then carried out for the underlying systems via a convex program. An illustrative example is finally given to show the efficacy of the developed method.


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    Title :

    T–S Fuzzy-Affine-Model-Based Reliable Output Feedback Control of Nonlinear Systems with Actuator Faults


    Contributors:
    Wei, Yanling (author) / Qiu, Jianbin (author) / Peng, Xiuyan (author) / Lam, Hak Keung (author)

    Publication date :

    2018-01-01


    Remarks:

    Wei , Y , Qiu , J , Peng , X & Lam , H K 2018 , ' T–S Fuzzy-Affine-Model-Based Reliable Output Feedback Control of Nonlinear Systems with Actuator Faults ' , Circuits, Systems, and Signal Processing , vol. 37 , no. 1 , pp. 81-97 . https://doi.org/10.1007/s00034-017-0547-0



    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Classification :

    DDC:    629





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