Event-triggered Output Feedback Resilient Control for NCSs under Deception Attacks

This paper studies event-triggered output feedback resilient control for networked control systems (NCSs) under stochastic deception attacks following a Bernoulli distribution. Unlike continuous event-triggered mechanism (ETM) requiring dedicated hardware and complex Zeno-avoidance computation, an output-based discrete ETM is firstly introduced, which overcomes limits of continuous ETM and relaxes state-available constraint. Secondly, a novel time-delay system model is established, which makes it possible to study effects of the ETM, stochastic attacks and network-induced delays in a unified framework. Thirdly, less-conservative asymptotic stability criteria with desired H ∞ index are obtained, which derive quantitative relationships among the ETM, stochastic attacks, network delays, plant and resilient controller. Further, sufficient conditions to co-deign the ETM and resilient controller are presented. Finally, examples confirm effectiveness of the proposed method.