Sampled-data resilient H∞ control for networked stochastic systems subject to multiple attacks

Pengyu Zeng, Feiqi Deng, Xiaobin Gao and Xiaohua Liu

Applied Mathematics and Computation, 2021, vol. 405, issue C

Abstract: In this paper, the sampled-data resilient H∞ control problem is concerned for networked stochastic systems with multiple attacks. Multiple attacks consisting of denial-of-service (DoS) attacks and random deception attacks are first described. Then on the basis of these attacks, a new switched stochastic time-delay closed-loop system is proposed under sampled-data and full state feedback controller. By utilizing piecewise Lyapunov-Krasovskii functional analysis theory, some new criterions are derived to guarantee the mean-square asymptotical stability with an H∞ performance of the resulting closed-loop system. The explicit expression of controller gain is subsequently presented. Finally, two examples are given to show the feasibility of the developed control approach.

Keywords: Networked stochastic systems; Denial-of-Service (DoS) attacks; Random deception attacks; Reliable H∞ control (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:405:y:2021:i:c:s0096300321003544

DOI: 10.1016/j.amc.2021.126265

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