Event-triggered adaptive sliding mode control of cyber-physical systems under false data injection attack

Abstract

This paper studies the event-triggered adaptive sliding mode control(ASMC) problem for the cyber-physical systems (CPSs) under the false data injection attack (FDIA). First, for the unknown upper bound information of the false data injection attack, the adaptive technique is used to estimate the upper bound of the attack mode. Then the event-triggered ASMC method is developed by combining with the event-triggered mechanism. Second, Lyapunov’s stability theory is used to prove the admissibility of the formed event-triggered ASMC design scheme. Finally, simulation results verifies the effectiveness and superiority of the proposed method, which ensures the security and stability of the system and improve the utilization of information resource.