Adaptive Resilient Control for Cyber-Physical Systems Under Cyberattack and Input Saturation

This article investigates the resilient control problem for nonlinear cyber-physical systems with hybrid cyberattacks and physical constraints, including aperiodic denial-of-service attacks, deception attacks, input saturation, and external disturbances. The underlying system is described by the fuzzy model by decomposing the nonlinear plant into some local linear subsystems. An input saturating integrator and an antiwindup compensator are introduced inside a dynamic output feedback fuzzy controller to handle the input saturation in both amplitude and rate. Within the resulting fuzzy-model-based control framework, a novel adaptive event-triggered-based resilient control method is proposed to ensure that the insecure and imperfect system is stochastically stable with an H(8 )performance level. Simulation results of an autonomous vehicle operating in a wireless network environment are provided to verify the effectiveness of the proposed control method.