Event-triggered security control of cyber-physical systems using an adaptive sliding mode control strategy

Abstract

Abstract: In this paper, the event-triggered adaptive sliding mode control problem is investigated for a class of discrete-time nonlinear cyber-physical systems under hybrid cyber attacks. Firstly, the adaptive event-triggered communication mechanism is introduced in the measurement channels to reduce the communication load. By considering the mode characteristics of hybrid cyber attacks, an augmented closed-loop system model is established based on sliding mode and error dynamics. Secondly, in terms of Lyapunov stability theory and linear inequality technique, sufficient conditions are derived to ensure the asymptotic stability of the augmented closed-loop system. Furthermore, a new adaptive sliding mode control law is proposed to compensate for the negative impact of hybrid cyber attacks on system performance, ensuring that the system state is driven into the quasi sliding mode domain and guaranteeing the accessibility of the sliding region. Finally, the effectiveness and superiority of the proposed control method are verified by a simulation example.

Key words: cyber-physical systems, denial of service attacks, false data injection attacks, adaptive event triggering, sliding mode control

CLC Number:

TP273

ZHU Chao-qun, LI Tian-cheng. Event-triggered security control of cyber-physical systems using an adaptive sliding mode control strategy[J]. Journal of Lanzhou University of Technology, 2026, 52(3): 81-90.

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URL: https://journal.lut.edu.cn/EN/

https://journal.lut.edu.cn/EN/Y2026/V52/I3/81

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