Model Predictive Control for Nonlinear Discrete Cyber–Physical Systems With Joint Deception Attacks

Based on model predictive control and an attack detection mechanism, the stabilization problem of a class of nonlinear discrete-time cyber–physical systems with deception attacks at the sensor-to-controller and controller-to-actuator communication channels is studied. In this article, the deception attacks on both ends of the controller are considered using a more generic probability model. Attack detection models and mechanisms are established to detect the integrity of transmitted information in order to mitigate the impact of deception attacks. To ensure the input-to-state practical stability of the closed-loop system, a model predictive controller is designed based on the detected state. Finally, a simulation case is presented to demonstrate the stability and effectiveness of the proposed method.