Sampled-data resilient control for stochastic nonlinear CPSs under DoS attacks

Xiaohua Liu, Feiqi Deng, Pengyu Zeng, Xiaobin Gao and Xueyan Zhao

International Journal of Systems Science, 2023, vol. 54, issue 5, 1165-1171

Abstract: This paper studies the sampled-data resilient control for stochastic nonlinear cyber-physical systems (CPSs) under denial-of-service (DoS) attacks. First, under the sampled-data control scheme, DoS attacks are described and under-considered in the stochastic nonlinear CPSs. Secondly, according to the influence of DoS attack, a new switching stochastic nonlinear closed-loop system is established under a full-state feedback controller. Then, by using the piecewise Lyapunov functional method, sufficient conditions are provided to ensure the mean square exponential stability of the obtained closed-loop system. In addition, some criterions are given to design controller parameters. Finally, an example is given to illustrate the effectiveness of our results.

Date: 2023
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DOI: 10.1080/00207721.2022.2158445

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