<p>This paper addresses the control problem of continuous-time network control systems (NCSs) subject to aperiodic denial-of-service (DoS) attacks and actuator saturation. By considering the minimum communication security duration and the maximum attack duration, an aperiodic DoS attack model is proposed. This model facilitates system performance analysis by linking two general hypothetical models. For NCSs experiencing both aperiodic DoS attacks and actuator saturation, a dynamic memory-based event-triggered mechanism (DMETM) is designed to operate during the attack dormant periods. Based on the aperiodic DoS attack signal, a set of memory-based controllers and auxiliary controllers are designed to linearize the actuator’s saturation effect. Using the obtained switching system model and a piecewise Lyapunov-Krasovskii functional (LKF), sufficient conditions are derived for the system to achieve local asymptotic stabilization and weighted perturbation attenuation <i>H</i><sub><i>∞</i></sub> performance. Additionally, a method for estimating the attraction domain is provided. The co-design of the event-triggered weighting matrix and controller gains is presented using linear matrix inequalities (LMIs). Finally, the effectiveness and superiority of the proposed method are demonstrated through a practical application example.</p>

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Dynamic Memory-Based Event-Triggered Mechanism for Networked Control Systems with Denial-of-Service Attacks and Actuator Saturation

  • Menghua Chen,
  • Shuting Wang,
  • Miao Lou,
  • Yunming Wang

摘要

This paper addresses the control problem of continuous-time network control systems (NCSs) subject to aperiodic denial-of-service (DoS) attacks and actuator saturation. By considering the minimum communication security duration and the maximum attack duration, an aperiodic DoS attack model is proposed. This model facilitates system performance analysis by linking two general hypothetical models. For NCSs experiencing both aperiodic DoS attacks and actuator saturation, a dynamic memory-based event-triggered mechanism (DMETM) is designed to operate during the attack dormant periods. Based on the aperiodic DoS attack signal, a set of memory-based controllers and auxiliary controllers are designed to linearize the actuator’s saturation effect. Using the obtained switching system model and a piecewise Lyapunov-Krasovskii functional (LKF), sufficient conditions are derived for the system to achieve local asymptotic stabilization and weighted perturbation attenuation H performance. Additionally, a method for estimating the attraction domain is provided. The co-design of the event-triggered weighting matrix and controller gains is presented using linear matrix inequalities (LMIs). Finally, the effectiveness and superiority of the proposed method are demonstrated through a practical application example.