Asynchronous control of continuous-time switched systems with all unstable modes under DoS attacks

IF 3.2 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS
Guoxuan Huang, Yingxue Du, Ancai Zhang, Yang Liu, Zhi Liu
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引用次数: 0

Abstract

In this article, the asynchronous control problem of switched linear systems with all unstable modes under denial-of-service (DoS) attacks is studied. First, the upper bound of the sampling period, which can be easily calculated based on the scenario where all modes are unstable, is obtained under a periodic sampling control strategy. Second, by constructing an appropriate discrete multiple linear quadratic Lyapunov function, an asynchronous control scheme in the form of linear matrix inequalities is devised. To ensure the stability of switched systems under DoS attacks, a sufficient condition for the total duration and frequency of DoS attacks is established. It is shown that the switched system can tolerate DoS attacks up to a certain limit while maintaining exponential stability, and this result is applicable even when all subsystems are unstable. Finally, numerical examples and a comparative study are presented to demonstrate the effectiveness of the proposed method.

DoS 攻击下具有所有不稳定模式的连续时间交换系统的异步控制
本文研究了在拒绝服务(DoS)攻击下具有所有不稳定模式的开关线性系统的异步控制问题。首先,根据所有模式都不稳定的情况,在周期性采样控制策略下,可以很容易地计算出采样周期的上界。其次,通过构建适当的离散多重线性二次Lyapunov函数,设计了一种线性矩阵不等式形式的异步控制方案。为确保交换系统在 DoS 攻击下的稳定性,建立了 DoS 攻击总持续时间和频率的充分条件。结果表明,交换系统在保持指数稳定性的同时,可以承受一定限度的 DoS 攻击,即使所有子系统都不稳定,这一结果也是适用的。最后,还给出了数值示例和对比研究,以证明所提方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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