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Dynamic Event-Triggered Sliding Mode Control for Interconnected Systems Under Unreliable Markov Communication Networks Vulnerable to Attacks

Feng Li,Xiulin Wang,Sangmoon Lee,Hao Shen

Published 2026 in IEEE Internet of Things Journal

ABSTRACT

This work studies the decentralized sliding mode control problem for interconnected systems based on a dynamic event-triggered transmission mechanism. To model unreliable communication networks that are susceptible to both energy-limited denial-of-service (DoS) attacks and transmission failures, a Markov model is adopted. A decentralized dynamic event-triggered mechanism (ETM) is introduced to efficiently utilize limited channel resources by regulating data transmission based on system measurement outputs. Moreover, a hidden Markov model (HMM) is used to estimate the working operation of the network transmission channel (TC) such that a HMM-based sliding mode controller can be designed by using the output feedback control method. By constructing a Lyapunov function, sufficient conditions are deduced to ensure the stochastic stability of the system and the reachability of the specified sliding mode surface, and a solvable criterion for obtaining the HMM-based sliding mode controller gains is presented. Finally, simulation results of a four-area interconnected power system are presented to demonstrate the effectiveness of the proposed method.

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