Model-based Predictive Security Control for Discrete Switching Systems Under Deception Attacks

This paper focuses on model prediction-based security control for discrete switching systems under deception attacks. An event-triggering mechanism based on the optimal prediction is designed to shorten the asynchronous time between the subsystem and the controller. This helps the system adjust when the prediction deviates and reduces the attack's impact on the system's performance. A new quadratic cost function is proposed to find a smoother and more stable control strategy; a subsystem switching rule based on the optimal prediction state is constructed to select the optimal subsystem switching and optimize the overall performance of the system; and a sufficient condition for asymptotic stabilization of the closed-loop system under the above event-triggering mechanism and optimal safety control strategy is given.