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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    Title :

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


    Additional title:

    Studies in Systems, Decision and Control


    Contributors:
    Park, Ju H. (editor) / Xia, Yude (author) / Wang, Yudong (author) / Wang, Jing (author) / Shen, Hao (author)


    Publication date :

    2020-08-11


    Size :

    20 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English