Resilient Event-Triggered Control for Switched Systems With Reconstructed Switching Signals Under DoS Attacks

IF 3.2 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS International Journal of Robust and Nonlinear Control Pub Date : 2024-11-03 DOI:10.1002/rnc.7682
Fanfan Li, Yuangong Sun, Zhiqiang Zhang, Xingao Zhu
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Abstract

In this article, the resilient event-triggered control issue for switched linear systems with the bounded disturbance is explored under the aperiodic denial-of-service (DoS) attacks. Unlike the discussions on asynchronous behavior caused by network transmission/DoS attacks, configure a copy of predictor at controller module to avert the negative impacts of asynchronous switching. Subsequently, by establishing a resilient event-triggered strategy (RETS) to eliminate invalid sampling during DoS attacks intervals, the waste of network resources is reduced. Besides, a sufficient condition is derived to ensure the input-to-state stability (ISS) for the close-loop switched systems under DoS attacks. The results indicate that the switched systems can resist a certain degree of DoS attacks under the average dwell time (ADT) constrained by DoS attacks frequency and duration. In addition, Zeno behavior is eliminated by calculating the lower bound of the triggering intervals. Finally, the availability of theoretical approach is verified through a numerical simulation.

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DoS攻击下具有重构交换信号的交换系统弹性事件触发控制
研究了具有有界扰动的切换线性系统在非周期拒绝服务(DoS)攻击下的弹性事件触发控制问题。与讨论网络传输/DoS攻击引起的异步行为不同,在控制器模块配置一个预测器副本,以避免异步切换的负面影响。随后,通过建立弹性事件触发策略(RETS)来消除DoS攻击间隔期间的无效采样,减少了网络资源的浪费。同时,给出了闭环切换系统在DoS攻击下的输入状态稳定性的充分条件。结果表明,在受DoS攻击频率和持续时间限制的平均停留时间(ADT)下,切换系统能够抵御一定程度的DoS攻击。此外,通过计算触发间隔的下界,消除了芝诺行为。最后,通过数值模拟验证了理论方法的有效性。
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来源期刊
International Journal of Robust and Nonlinear Control
International Journal of Robust and Nonlinear Control 工程技术-工程:电子与电气
CiteScore
6.70
自引率
20.50%
发文量
505
审稿时长
2.7 months
期刊介绍: Papers that do not include an element of robust or nonlinear control and estimation theory will not be considered by the journal, and all papers will be expected to include significant novel content. The focus of the journal is on model based control design approaches rather than heuristic or rule based methods. Papers on neural networks will have to be of exceptional novelty to be considered for the journal.
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