Adaptive event-triggered secure control for networked control systems subject to deception and replay cyber-attacks

An adaptive event-triggered scheme is considered for networked control systems subject to deception and reply cyber attacks. In particular, the adaptive event-triggered mechanism is used in the closed-loop controller design to reduce signal transmission and communication burden. The attacker destroys the system's performance by employing deception attacks on sensor-to-controller communication channels and replay attacks on controller-to-actuator communication channels, respectively. By utilizing the Lyapunov stability approach, the closed-loop system guarantees mean square stability and ensure security. The adaptive event-triggered controller gains are presented by solving a set of matrix inequalities. Finally, a simulation result including the model of a batch reactor is presented to demonstrate the efficiency of the methods proposed.