This work focuses on addressing the issue of sampled-data synchronization for nonlinear chaotic systems with uncertainties by fault-tolerant control techniques, where a semi-Markov jump chain is utilized to describe the switching characteristic. The random occurring uncertainties in chaotic systems are subject to the Bernoulli distributed white noise sequences therein. For such a synchronization control problem, the sampled-data control strategy, capable of alleviating the bandwidth pressure is applied, in which the random time-varying delays are adequately cogitated. Then, by establishing a proper Lyapunov–Krasovskii functional, some constrained criteria are obtained via the rational use of integral inequality technique. The validity and effectiveness of the developed methods are, at last, substantiated by a numerical example.


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    Titel :

    Fault-Tolerant Sampled-Data Synchronization of Chaotic Systems with Random Occurring Uncertainties: A Semi-Markov Jump Model Approach


    Weitere Titelangaben:

    Studies in Systems, Decision and Control


    Beteiligte:
    Park, Ju H. (Herausgeber:in) / Xia, Yude (Autor:in) / Wang, Yudong (Autor:in) / Wang, Jing (Autor:in) / Shen, Hao (Autor:in)


    Erscheinungsdatum :

    11.08.2020


    Format / Umfang :

    20 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch