Distributed Observers with Dynamic Event-Triggered Communication
It addresses the practical implementation of distributed state estimation by ensuring positive MIETs under dynamic event-triggering, a known bottleneck in event-triggered control.
This paper proposes a dynamic event-triggered distributed observer for LTI systems, proving strictly positive minimum inter-event times and exponential convergence of estimation error, with both node-based and edge-based mechanisms.
This paper studies the problem of distributed state estimation of linear time-invariant (LTI) systems under event-triggered communication. For event-triggering mechanisms, the existence of positive minimum inter-event times (MIETs) is an essential property for ensuring practicality. It is widely recognized that dynamic event-triggering mechanisms can effectively reduce redundant communication. However, for distributed observers, it remains unclear whether dynamic event-triggering mechanisms can ensure positive MIETs. This paper proposes a dynamic event-triggered distributed observer. By introducing new comparison functions, it is proven that the dynamic event-triggered distributed observer can guarantee strictly positive MIETs and ensure the exponential convergence of the estimation error. Moreover, most existing works on event-triggered distributed observers only consider node-based event-triggering mechanisms, while both node-based and edge-based dynamic event-triggering mechanisms are constructed in this paper. Numerical examples are provided to illustrate the effectiveness of the proposed results.