Optimal Performance of Discrete Networked Systems With Cyber-Attack and Packet Dropouts

IF 8.6 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS
Xiaowei Jiang;Xinyu Ren;Bo Li;Feng Liu;Wuhua Chen
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引用次数: 0

Abstract

In this study, the limitations of the tradeoff performance of multiple-input-multiple-output (MIMO) discrete networked control systems (NCSs) with forward channel subject to cyber-attack, additive white Gaussian noise and packet dropouts were analyzed. The performance of intrusion detection systems under cyber-attack with incomplete information was analyzed using game theory. Then, explicit expressions for the optimal tradeoff performance between tracking error and control input are derived based on the two-degree-of-freedom (TDOF) controller using frequency domain analysis, coprime factorization technique and Youla parameterization method. Results show that the tradeoff performance of the system is affected by their fundamental properties, such as the direction and position of the nonminimum phase (NMP) zeros and unstable poles (UPs) in the plant as well as communication constraints, such as cyber-attack, additive white Gaussian noise and packet dropouts. Finally, an illustrative simulation is discussed to verify the aforementioned conclusions.
具有网络攻击和丢包的离散网络系统的最优性能
本研究分析了具有前向信道的多输入多输出(MIMO)离散网络控制系统(NCSs)在网络攻击、加性高斯白噪声和丢包等情况下的权衡性能的局限性。利用博弈论分析了不完全信息网络攻击下入侵检测系统的性能。然后,利用频域分析、素数分解技术和Youla参数化方法,推导出基于二自由度控制器的跟踪误差与控制输入的最优权衡性能的显式表达式。结果表明,系统的权衡性能受其基本特性的影响,如非最小相位(NMP)零点和不稳定极点(UPs)的方向和位置,以及通信约束,如网络攻击、加性高斯白噪声和丢包。最后,通过实例仿真验证了上述结论。
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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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