Adaptive event-triggered resilient control of industrial cyber physical systems under asynchronous data injection attack

Abstract

A two sides asynchronous Adaptive Event-triggered Resilient Control Scheme (AERCS) is proposed for ICPS which suffering asynchronous data injection attacks. For adapting to changes of the harsh environmental, the event trigger threshold is dynamically optimized with the external interference and attacks to ensure the system with a certain resilience. Based on an asynchronous event-triggered timing model, a control strategy of asynchronous event-triggered control is constructed by being combined with the dynamic output feedback control for different attack scenarios. Based on the feedback control theory, a novel Lyapunov-Krasovskii functional is constructed to analyze the stability and H∞ performance of system by fully utilizing the attack information, the changed system information caused by network delays and the adaptive threshold. Moreover, the sufficient condition of co-design of dynamic controller gain and event trigger parameter matrix are given. The simulation experiments are conducted by using Matlab tool with the inverted pendulum as the plant to evaluate the stability of ICPS. Simulation results show that AERCS can not only ensure the desired stability of the system, but also effectively reduce the number of times for transmitting data through the wireless network.