Distributed Energy-to-Peak Filtering for Switched Delayed Systems Over Sensor Networks with Event-Triggered Communication
Guanyuan Xie, Ying Zhao, Yuzhong Wang, Siyuan Zhang, Hong Sang · 2025
This research concerns the distributed energy-to-peak filtering problem for a class of discrete-time switched delayed system (DTSDS) over sensor networks. To mitigate the network transmission load, a distributed filter based on event-triggered communication is developed, wherein the filter's input signal solely consists of the triggering information from sensor measurements and the switching signal at the precise triggering instants. In this scenario, an intriguing asynchronous switching phenomenon, induced by the triggering transmission of switching signal, is considered. Additionally, the corresponding sufficient condition is derived using a multiple Lyapunov-Krasovskii functional approach along with an average dwell time (ADT) switching strategy, which ensures exponential stability and a weighted energy-to-peak performance for the resulting filtering error system (FES). A numerical example is ultimately presented to validate the effectiveness of the derived results.