Dynamic event-triggered mechanisms for distributed observers ensure positive MIETs and exponential error convergence for LTI systems, with both node-based and edge-based designs.
On distributed optimal Kalman-Bucy filtering by averaging dynamics of heterogeneous agents
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Distributed Observers with Dynamic Event-Triggered Communication
Dynamic event-triggered mechanisms for distributed observers ensure positive MIETs and exponential error convergence for LTI systems, with both node-based and edge-based designs.