An repetitive learning control strategy is presented for a class of bilinear parametric systems with mixed unknown time-varying and time-invariant parameters and unknown time varying delay. By reconstructing the system equation, the time-varying delay is combined into an unknown periodic time-varying vector which is estimated by a periodic adaptive mechanism. The proposed control scheme includes a differential-difference mixed-type adaptive law used to estimate the unknown time-varying parameters and an adaptive repetitive learning control. Based on the Lyapunov-Krasovskii energy function synthesis, we show that all signals in the closed-loop system remain bounded and the asymptotic convergence of the tracking error. The simulation results show the feasibility and effectiveness of the approach.


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    Title :

    Repetitive learning control for bilinear parametric systems with unknown time-varying delays and time-varying parameters


    Contributors:
    Sun, Yunping (author) / Jia, Nayu (author)


    Publication date :

    2014-08-01


    Size :

    163510 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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