DoS攻击下的扰动伺服系统基于观测器的detm -切换H∞控制

IF 8.7 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS
Qiaofeng Zhang;Meng Li;Yong Chen;Meng Zhang;Haiyu Song
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引用次数: 0

摘要

本文研究了一类伺服直流电动机在输入输出干扰和DoS攻击下的安全控制。提出了一种基于多通道观测器的交换$H\infty $控制策略,并设计了动态事件触发机制(DETM)以节省网络资源。首先,建立了包含输入输出扰动的伺服直流电动机数学模型,并将其离散化,使其更适合计算机控制。然后,设计了状态观测器和基于马尔可夫理论的多通道传输策略,以便在DoS攻击下获取受干扰系统的准确知识并将其传输到远程控制器。第三,提出了基于观测器的状态反馈切换$H\infty $控制策略,并对其稳定性进行了验证。在此基础上,通过引入动态触发变量来减少网络资源的占用。最后,通过数值仿真和半物理仿真验证了特征化控制策略的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Observer-Based DETM-Switching- H∞ Control for Disturbed Servo Systems Under DoS Attacks
This article investigates the secure control of a class of servo DC motors in the presence of input–output disturbances and DoS attacks. A multichannel observer-based switching $H\infty $ control strategy is proposed and a dynamic event triggering mechanism (DETM) is designed to save network resources. First, a mathematical model of servo DC motor containing input–output disturbances is developed and discretized to make it more suitable for computer control. Then, a state observer and a multichannel transmission strategy based on Markov theory are designed in order to obtain the accurate knowledge of disturbed system and transmit it to the remote controller under DoS attack. Third, observer-based state feedback switching $H\infty $ control strategy is proposed and the stability is demonstrated. Furthermore, the DETM is presented to reduce the occupation of network resources by introducing dynamic trigger variable. Finally, the performance of the characterized control strategy is verified by a numerical simulation and a semi-physical simulation.
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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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