Asymptotic Mean-Square Stabilization of Networked Control Systems: Adaptive Event-Triggered Strategy Against Hybrid DoS-Deception Attacks

This study deeply explores the adaptive eventtriggered security control design of Network control systems (NCS) in the face of various network attacks. First of all, the hybrid attack model within the communication channel was carefully constructed. This model is based on a random variable that follows the Bernoulli distribution and effectively describes the attack rate and exchange rules of the entire network. Subsequently, an adaptive event-triggering scheme was proposed. By using Lyapnov's stability theory, the linear matrix inequality (LMI) is ingeniously employed to ensure asymptotically mean square stable(AMSS) of the augmented system. Finally, through examples, it is illustrated that the network control system facing various network attacks can successfully meet the strict robust control performance requirements. Furthermore, it can significantly improve the utilization rate of network bandwidth, thereby highlighting the practical value and effectiveness of this method.