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Sampled-data resilient H∞ control for networked stochastic systems subject to multiple attacks
Applied Mathematics and Computation ( IF 4 ) Pub Date : 2021-04-15 , DOI: 10.1016/j.amc.2021.126265
Pengyu Zeng , Feiqi Deng , Xiaobin Gao , Xiaohua Liu

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.



中文翻译:

采样数据弹性 H 遭受多重攻击的网络随机系统的控制

在本文中,采样数据具有弹性 H具有多个攻击的网络随机系统关注控制问题。首先描述由拒绝服务(DoS)攻击和随机欺骗攻击组成的多种攻击。然后基于这些攻击,在采样数据和全状态反馈控制器的控制下,提出了一种新的切换随机时滞闭环系统。利用分段Lyapunov-Krasovskii泛函分析理论,推导了一些新的准则来保证均方渐近稳定并具有H闭环系统的性能。随后给出控制器增益的明确表达。最后,给出两个例子来说明所开发的控制方法的可行性。

更新日期:2021-04-15
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