Switching-Like Event-Triggered Control for Networked Markovian Jump Systems Under Deception Attack
Jie Lian, Yuchen Han
Abstract
This brief deals with the event-triggered control problem for networked Markovian jump systems subject to deception attack. When deception attack is activated, it causes the asynchronous switching and falsifies the sampled state as the nonlinear disturbance. Then, based on the variation between two consecutive sampled states and the signals of switching and deception attack, a switching-like event-triggered scheme is proposed to adjust the threshold. Sufficient conditions are derived to ensure the mean-square exponential input-to-state practical stability for such systems. After that, the homotopy method is employed to obtain the state-feedback matrix with constrained structure. Finally, a model about connected vehicle systems is given to demonstrate the effectiveness of the design techniques.