Event-Based Fault Detection for Networked Switched Systems Subject to Hybrid Attacks

计算机科学 背景(考古学) 故障检测与隔离 残余物 服务拒绝攻击 控制理论(社会学) 实时计算 滤波器(信号处理) 混合动力系统 人工智能 算法 执行机构 互联网 控制(管理) 古生物学 万维网 机器学习 生物 计算机视觉
作者
Zhigang Zhang,Jinhai Liu,Shuo Zhang,Huaguang Zhang
出处
期刊:IEEE Transactions on Network Science and Engineering [Institute of Electrical and Electronics Engineers]
卷期号:11 (3): 2937-2950 被引量:2
标识
DOI:10.1109/tnse.2024.3354913
摘要

This paper focuses on the issue of event-based fault detection (FD) for networked switched systems (NSSs) subject to hybrid attacks. Compared with the existing fault detection literature, both stochastic deception attacks and aperiodic denial-of-service (DoS) attacks are considered to disturb the information transmission in the network channel simultaneously. In this context, a new attack-resilient fault detection filter (ARFDF) is devised as a residual generator while resisting the effects of hybrid attacks. Since the DoS attacks affect the operation of the event-triggering mechanism (ETM), a resilient ETM is adopted to save the limited network resources and adapt to DoS attacks. The dynamics of the initial system combined with fault detection filters, the effects of the ETM and hybrid attacks are formulated as a new switched residual model. By employing Lyapunov stability theory and average dwell time (ADT) method, the new residual system can be mean-square exponential stable when the parameters of attacks meet certain conditions. And the quantitative relationship between DoS attacks and the switching law is formulated. Moreover, a co-design method of ETM parameters and filter gains is proposed. Finally, simulation results are provided to verify the feasibility and effectiveness of the proposed method.
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