Observer-Based Event-Triggered Control for Networked Linear Systems Subject to Denial-of-Service Attacks

• Published in: IEEE transactions on cybernetics Vol. 50; no. 5; pp. 1952 - 1964
• Main Authors: Hu, Songlin, Yue, Dong, Han, Qing-Long, Xie, Xiangpeng, Chen, Xiaoli, Dou, Chunxia
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.05.2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Cyber-physical systems (CPSs); Data transmission; Decay rate; Denial of service attacks; denial-of-service (DoS) attacks; Denial-of-service attack; Event triggered control; Intelligent sensors; Jamming; Linear matrix inequalities; Linear systems; networked control systems (NCSs); Observers; Offshore engineering; Offshore structures; piecewise Lyapunov–Krasovskii functional; Power system stability; resilient event-triggered communication scheme; Stability analysis
• ISSN: 2168-2267; 2168-2275; 2168-2275
• DOI: 10.1109/TCYB.2019.2903817

This paper is concerned with the observer-based event-triggered control for a continuous networked linear system subject to denial-of-service (DoS) attacks, where the attacks are launched periodically to block the data transmission in control channels. First, a new observer state-based resilient event-triggering scheme is developed in the presence of DoS attacks. Second, a novel event-based switched system model is established by considering the effect of the event-triggering scheme and DoS attacks simultaneously. By virtue of this new model combined with a piecewise Lyapunov-Krasovskii functional method, the sufficient conditions are derived to guarantee exponential stability of the resulting switched system. It is shown that the proposed results can establish a quantitative relationship among the launching/sleeping periods of the attacks, the event-triggering parameters, the sampling period, and the exponential decay rate. Third, criteria for designing a desired observer-based event-triggered controller are provided and expressed in terms of a set of linear matrix inequalities. Finally, an offshore structure model is presented to illustrate the efficiency of the developed control method.