Event-Triggered Adaptive Fixed-Time Secure Control for Nonlinear Cyber-Physical System With False Data-Injection Attacks

Abstract

This brief investigates the event-triggered adaptive fixed-time secure control problem for nonlinear cyber-physical systems (CPSs) under false data-injection attacks. By employing adding a power integrator technique, an adaptive controller along with the triggering mechanism is designed by using the compromised state variables. To compensate the effect of the unknown attacks, a dynamic switching function is introduced into the controller and a corresponding switching mechanism is developed based on the fixed-time stability theorem. Under the adaptive secure control scheme, the dynamic controller parameter can be regulated online to compensate the cyber attacks such that the fixed-time stability can be ensured for the considered nonlinear CPSs and Zeno behavior can be avoided. A simulation example is given to demonstrate the effectiveness of the proposed control strategy.