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

Author

Listed:
  • 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
    School of Automation, Southeast University, Nanjing 210096, China)

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.

Suggested Citation

  • Bo Zhang & Tao Zhang & Zesheng Xi & Yunfan Wang & Meng Yang, 2025. "Estimate-Based Dynamic Memory-Event-Triggered Control for Nonlinear Networked Control Systems Subject to Hybrid Attacks," Mathematics, MDPI, vol. 13(17), pages 1-18, September.
    • Handle: RePEc:gam:jmathe:v:13:y:2025:i:17:p:2829-:d:1740497
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