Estimate-Based Dynamic Memory-Event-Triggered Control for Nonlinear Networked Control Systems Subject to Hybrid Attacks

Bo Zhang, Tao Zhang, Zesheng Xi, Yunfan Wang and Meng Yang ()
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Bo Zhang: State Grid Laboratory of Power Cyber-Security Protection and Monitoring Technology, China Electric Power Research Institute, Nanjing 210003, China
Tao Zhang: State Grid Laboratory of Power Cyber-Security Protection and Monitoring Technology, China Electric Power Research Institute, Nanjing 210003, China
Zesheng Xi: State Grid Laboratory of Power Cyber-Security Protection and Monitoring Technology, China Electric Power Research Institute, Nanjing 210003, China
Yunfan Wang: State Grid Laboratory of Power Cyber-Security Protection and Monitoring Technology, China Electric Power Research Institute, Nanjing 210003, China
Meng Yang: College of Command Control Engineering, Army Engineering University of PLA, Nanjing 210007, China

Mathematics, 2025, vol. 13, issue 17, 1-18

Abstract: Within the framework of a dynamic memory-event-triggered mechanism (DMETM), this paper proposes an estimate-based secure control algorithm for nonlinear networked control systems (NNCSs) that suffer from hybrid attacks. Firstly, a sampled-data observer is employed utilizing the output signals to estimate the states. Secondly, due to the limitation of data transmission capacity in NNCSs, a novel DMETM with auxiliary variable is proposed, which effectively leverages the benefits of historical sampled data. In the process of network data transmission, a hybrid attack model that simultaneously considers the impact of both deception and denial of service (DoS) attacks is introduced, which can undermine signal integrity and disrupt data transmission. Then, a memory-event-triggered controller is developed, and the mean square stability of the NNCSs can be ensured by selecting some appropriate values. Finally, a numerical simulation and a practical example are given to illustrate the meaning of the designed dynamic memory-event-triggered control (DMETC) algorithm.

Keywords: nonlinear networked control systems; event-triggered control; hybrid attacks; observer; secure control (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2025
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