Fault Detection Filter Design for IT2 Fuzzy Multi Agent Systems Under Dynamic Event-Triggered Scheme

This paper focuses on the design of fault detection (FD) filter for nonlinear multi-agent systems (MASs) with uncertainty and randomly occurring faults. In order to save network bandwidth occupation, the dynamic event-triggered scheme (DETS) is adopted and an intermediate variable is introduced to make the triggering intervals larger, and still ensure an excellent FD performance. And then, the co-design of DETS and the FD filter is achieved and the robustly stochastically stable of the closed-loop system is guaranteed. Finally, a numerical example is given to illustrate the validity of the proposed method.