{"title":"Optimal resilient tracking control of switched systems under denial-of-service attacks","authors":"Chen Chen , Lijie Wang","doi":"10.1016/j.chaos.2024.115648","DOIUrl":null,"url":null,"abstract":"<div><div>This article investigates the optimal output tracking problem for linear switched systems under DoS attacks. In contrast to early results which only consider the stability of switched systems under DoS attacks, the proposed control scheme can ensure the stability of the system while optimizing the system performance. Firstly, an augmented system is constructed based on the physical objects and command generator. Then, a Riccati equation of such an augmented system with DoS attacks is provided, and the optimal control scheme is obtained by iterative algorithm. Furthermore, to better align with practical scenarios, in this article, some restrictions on the instants of DoS attacks and switchings are removed, that is, multiple switchings are allowed during both active and inactive intervals of DoS attacks. In addition, the quantitative relationship regarding the duration and frequency of DoS attacks and the switching law is provided, which plays a key role in ensuring the stability of switching system under attacks. Finally, numerical examples are provided to demonstrate the effectiveness of the proposed method.</div></div>","PeriodicalId":9764,"journal":{"name":"Chaos Solitons & Fractals","volume":null,"pages":null},"PeriodicalIF":5.3000,"publicationDate":"2024-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chaos Solitons & Fractals","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0960077924012001","RegionNum":1,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
This article investigates the optimal output tracking problem for linear switched systems under DoS attacks. In contrast to early results which only consider the stability of switched systems under DoS attacks, the proposed control scheme can ensure the stability of the system while optimizing the system performance. Firstly, an augmented system is constructed based on the physical objects and command generator. Then, a Riccati equation of such an augmented system with DoS attacks is provided, and the optimal control scheme is obtained by iterative algorithm. Furthermore, to better align with practical scenarios, in this article, some restrictions on the instants of DoS attacks and switchings are removed, that is, multiple switchings are allowed during both active and inactive intervals of DoS attacks. In addition, the quantitative relationship regarding the duration and frequency of DoS attacks and the switching law is provided, which plays a key role in ensuring the stability of switching system under attacks. Finally, numerical examples are provided to demonstrate the effectiveness of the proposed method.
本文研究了 DoS 攻击下线性开关系统的最优输出跟踪问题。与早期仅考虑 DoS 攻击下开关系统稳定性的研究成果相比,本文提出的控制方案既能保证系统的稳定性,又能优化系统性能。首先,根据物理对象和指令发生器构建一个增强系统。然后,提供了这种具有 DoS 攻击的增强系统的 Riccati 方程,并通过迭代算法得到了最优控制方案。此外,为了更好地贴近实际应用场景,本文取消了对 DoS 攻击和切换时刻的一些限制,即在 DoS 攻击的活跃期和非活跃期都允许多次切换。此外,本文还提供了 DoS 攻击持续时间和频率与切换规律的定量关系,这对确保攻击下切换系统的稳定性起到了关键作用。最后,还提供了数值示例来证明所提方法的有效性。
期刊介绍:
Chaos, Solitons & Fractals strives to establish itself as a premier journal in the interdisciplinary realm of Nonlinear Science, Non-equilibrium, and Complex Phenomena. It welcomes submissions covering a broad spectrum of topics within this field, including dynamics, non-equilibrium processes in physics, chemistry, and geophysics, complex matter and networks, mathematical models, computational biology, applications to quantum and mesoscopic phenomena, fluctuations and random processes, self-organization, and social phenomena.