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<p>In this article, a dynamic event-triggered mechanism based on Model Predictive Control (DETM-MPC) is proposed to reduce the impact of denial of service (DoS) attacks on cloud control systems during signal transmission. Under IT2 T-S fuzzy model structure, a more practical dynamic model of fuzzy cloud control systems (FCCSs) is established to correlate the system state with external attack situations. The advantages of the MPC algorithm are combined to propose an adaptive DETM mechanism to ensure the asymptotic stabilization of fuzzy cloud control systems. Control instructions are generated by the controller and executed based on the current state and optimal control strategy, thereby maintaining normal operation of the system under the influence of attacks. Under the DETM-MPC strategy, compensating control signals can minimize the impact of attacks while improving energy efficiency and optimizing limited bandwidth resources. Finally, some simulations are provided to verify the theoretical results.</p>

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Event-based model predictive control of fuzzy cloud control system under DoS attacks

  • 期刊论文

  • 发表日期：

    2025年7月17日

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  • Nannan Rong,
  • Yang Yu,
  • Sanbo Ding,
  • Limei Song

摘要

In this article, a dynamic event-triggered mechanism based on Model Predictive Control (DETM-MPC) is proposed to reduce the impact of denial of service (DoS) attacks on cloud control systems during signal transmission. Under IT2 T-S fuzzy model structure, a more practical dynamic model of fuzzy cloud control systems (FCCSs) is established to correlate the system state with external attack situations. The advantages of the MPC algorithm are combined to propose an adaptive DETM mechanism to ensure the asymptotic stabilization of fuzzy cloud control systems. Control instructions are generated by the controller and executed based on the current state and optimal control strategy, thereby maintaining normal operation of the system under the influence of attacks. Under the DETM-MPC strategy, compensating control signals can minimize the impact of attacks while improving energy efficiency and optimizing limited bandwidth resources. Finally, some simulations are provided to verify the theoretical results.