Resilient Control of Event-Triggered Systems Under Deception Attacks

In this paper, the periodic event-triggered system (PETS) under random deception attacks is studied. In the concerned system, a detector with system state and predicted state as input is used to detect deception attacks. The detectors have different detection results in the presence and absence of noise. To address these differences, state estimator update strategies are designed and the mean-square stability of the system states is ensured, respectively. With the design of the controller and state estimator, we can guarantee exponential convergence of the system state once the communication network is attacked. Finally, the paper proposes sufficient conditions for deception attacks and minimum bit rates that ensure the stability of the system.