Adaptive Event-triggered Control for Networked Switched T-S Fuzzy Systems Subject to False Data Injection Attacks

Abstract

This paper is concerned with the problem of adaptive event-triggered control for networked switched T-S fuzzy systems under false data injection attacks. In order to reduce unnecessary data transmission, an adaptive event-triggering mechanism is proposed, which can dynamically change triggering conditions based on system performance needs. In particular, due to the consideration of network safety, the system will be subjected to the impacts from both attack delays and network transmission delays. Then, by a delay system transformation approach, a time-delay closed-loop switched T-S fuzzy system is obtained. Moreover, by utilizing average dwell time technique, stability conditions are developed for the closed-loop system with the adaptive event-triggering mechanism and false data injection attacks. In addition, a co-design of adaptive event-triggering parameters and controller gains is given. Finally, simulation results are provided to verify the effectiveness of the designed method.