Model-based hybrid dynamic event-triggered control for systems subject to DoS attacks: A hybrid system approach

• Published in: Information sciences Vol. 613; pp. 268 - 287
• Main Authors: Zhao, Can, Liu, Fucai, Chen, Tianming, Wang, Cancan
• Format: Journal Article
• Language: English
• Published: Elsevier Inc 01.10.2022
• Subjects: Denial-of-service attacks; Hybrid dynamic event-triggered control; Hybrid systems; Model-based control; Networked control systems; Hybrid systems; Denial-of-service attacks; Networked control systems; Hybrid dynamic event-triggered control; Model-based control
• ISSN: 0020-0255; 1872-6291
• DOI: 10.1016/j.ins.2022.08.125

This article addresses the event-triggered control problem for networked control systems with uncertainties and denial-of-service (DoS) attacks. A resilient model-based hybrid dynamic event-triggered mechanism (HDETM) is proposed to defend against DoS attacks and reduce communication in sensor-controller-actuator networks. Owing to the introduction of regularization variables, Zeno behavior is naturally excluded, even if there exist disturbances. By using model-based computing, the novel HDETM outperforms the existing event-triggered mechanisms in terms of network utilization and robustness. To model and analyze the proposed HDETM, we propose a novel framework based on hybrid systems, which is different from the traditional discrete-time system framework. Meanwhile, the exponential stability and the L2-gain performance of the closed-loop system are guaranteed by utilizing the stability theorems for hybrid systems. In addition to the centralized model-based HDETM, a decentralized HDETM is also provided for large-scale systems which are composed of multiple interconnected subsystems. Finally, two examples are given that verify the improvement of the proposed model-based HDETM.