Dynamic Event-Triggered Quantized Control for Switched Systems Under DoS Attacks: A Min-Derivative Switching Strategy

IF 8.7 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS
Hanqing Qu;Bo-Chao Zheng;Jiasheng Shi
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引用次数: 0

Abstract

This article studies the $H_{\infty }$ control problem for switched systems with dynamic event-triggering and quantization schemes subject to denial-of-service (DoS) attacks. First, the resilient event-triggering and quantization schemes against DoS are developed, allowing the triggering parameter and quantization density to be dynamically adjusted. Subsequently, we introduce a time-dependent piecewise Lyapunov function that remains nonincreasing at discontinuity points. This function, along with an auxiliary functional, is dedicated to establishing criteria for the stability with $L_{2}$ gain property of switched systems, under which the frequency of DoS attacks no longer directly impacts the exponential stability decay rate. In contrast to the general min-switching rule, the min-derivative switching strategy in this article is formulated based on the derivative of Lyapunov function and serves to make the time-dependent Lyapunov function decrease. Moreover, the switching law ensures that switches occur only at discrete sampling instants, thereby avoiding Zeno behavior. Finally, two simulation examples are provided to illustrate the feasibility and superiority of our approaches.
DoS攻击下切换系统的动态事件触发量化控制:最小导数切换策略
本文研究了具有动态事件触发和量化方案的交换系统在拒绝服务攻击下的$H_{\infty }$控制问题。首先,开发了针对DoS的弹性事件触发和量化方案,允许动态调整触发参数和量化密度。随后,我们引入了一个时变分段Lyapunov函数,它在不连续点处保持不增加。该函数与一个辅助函数一起,致力于建立具有$L_{2}$增益特性的切换系统的稳定性判据,在该判据下,DoS攻击的频率不再直接影响指数稳定性衰减率。与一般的最小切换规则不同,本文的最小导数切换策略是基于Lyapunov函数的导数来制定的,目的是使随时间变化的Lyapunov函数减小。此外,开关律确保开关只发生在离散采样时刻,从而避免芝诺行为。最后,给出了两个仿真实例来说明本文方法的可行性和优越性。
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
IEEE Transactions on Systems Man Cybernetics-Systems
IEEE Transactions on Systems Man Cybernetics-Systems AUTOMATION & CONTROL SYSTEMS-COMPUTER SCIENCE, CYBERNETICS
CiteScore
18.50
自引率
11.50%
发文量
812
审稿时长
6 months
期刊介绍: The IEEE Transactions on Systems, Man, and Cybernetics: Systems encompasses the fields of systems engineering, covering issue formulation, analysis, and modeling throughout the systems engineering lifecycle phases. It addresses decision-making, issue interpretation, systems management, processes, and various methods such as optimization, modeling, and simulation in the development and deployment of large systems.
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