Predictive control based on event-triggering mechanism of cyber-physical systems under denial-of-service attacks

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. (c) 2021 Elsevier Inc. All rights reserved.

Automated summary

This paper proposes an event-triggering mechanism and a predictor compensation control strategy for cyber-physical systems under malicious denial-of-service attacks. The control strategy reduces data transmission and control updates by utilizing a novel event-triggering mechanism and a predictor to compensate for lost signals. The stability of the system is guaranteed by proving a sufficient condition.