Event-Triggered H∞ Filtering for A Class of Nonlinear Systems Under DoS Attacks

This paper investigates event-triggered H-infinity filtering for a class of discrete-time non-linear systems subject to denial-of-service (DoS) attacks. Since the communicationnetwork in the networked systems is vulnerable to malicious cyber-attacks, this papermodels DoS attacks as a Bernoulli random variable, which results in stochastic filter-ing error system. Besides, we use adaptive event-triggered communication to ensurethat the least amount of information is transmitted over the network. For the filteringerror system under the effect of event-triggered communication and DoS attacks, weprovide sufficient conditions on guaranteeing the stability and prescribed H-infinity perfor-mance, where the H-infinity filter and event-triggered parameters are co-designed using thelinear matrix inequality approach. Finally, two illustrative examples are provided todemonstrate the effectiveness of the proposed method.