服务拒绝攻击
计算机科学
控制理论(社会学)
传输(电信)
补偿(心理学)
理论(学习稳定性)
事件(粒子物理)
信息物理系统
控制(管理)
计算机安全
电信
人工智能
操作系统
万维网
物理
机器学习
互联网
量子力学
心理学
精神分析
作者
Jing Li,Wei Zhang,Zhaohui Zhang,Xiaobo Li,Xiaoli Yang
标识
DOI:10.1016/j.ins.2021.11.082
摘要
In this paper, an event-triggering mechanism (ETM) and a predictor compensation control strategy are proposed for cyber-physical systems (CPSs) with stochastic disturbance under malicious denial-of-service (DoS) attacks. First, a novel ETM excluded Zeno behaviour for CPSs is designed without considering DoS attacks, and the input-to-state stability (ISS) of the closed-loop systems is guaranteed. Second, given that DoS attacks could block the transmission of information, a predictor is used to compensate for the lost signals of CPSs. Then, a control strategy is proposed by combining the ETM and predictor, which can reduce the times of data transmission and control updates. Furthermore, a sufficient condition is derived to guarantee the ISS of the closed-loop system. Finally, the effectiveness of the proposed control strategy is verified by an example.
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