Distributed Finite-Time Extended Dissipative Filtering and Event-Triggered Strategy for Nonlinear Systems Over Sensor Networks With Two-Channel Stochastic Attacks

This study delves into the distributed finite-time extended dissipative filtering problem and event-triggered strategy for nonlinear systems over sensor networks with two-channel stochastic deception attacks. A new distributed filter is proposed, which simultaneously addresses the event-triggered strategy and two-channel attack scenario. Here, the event-triggered strategy is devised in a distributed manner, and the deception attack model following the Bernoulli distribution is established. Additionally, the finite-time extended dissipative index is considered to resolve the finite-time distributed $H_{\infty }$, $L_2-L_{\infty }$, passive, and dissipative filtering problem within a unified framework. Sufficient conditions are derived to ensure stochastically finite-time extended dissipation for filtering error systems through stochastic analysis and iterative methods. Finally, the numerical simulation example is provided to validate the theoretical results.