| Summary: | 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 <inline-formula> <tex-math notation="LaTeX">$H_{\infty }$ </tex-math></inline-formula> performance. The resilient filter and event-driven mechanism are then co-designed. Finally, the results obtained are applied to a switched circuit system.
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