Resilient Security Filtering for Networked Switched Systems With Event-Driven Measurements

This paper is concerned with event-driven filtering for networked switched systems with unreliable links. In order to improve the anti-interference performance of the filter, stochastic cyber-attacks and random parametric perturbations are considered in the filter design. The update of the measurement is determined by a newly proposed intermittent event-driven mechanism, which helps to save limited bandwidth resources. By constructing a new Lyapunov-Krasovskii functional (LKF) without positivity and continuity constraints in a triggering interval, sufficient conditions are obtained such that the filtering error system is exponentially mean-square stable with a weighted
$H_{\infty }$
performance. The resilient filter and event-driven mechanism are then co-designed. Finally, the results obtained are applied to a switched circuit system.