BIMSA > Seminar on Control Theory and Nonlinear Filtering Robust Distributed Kalman filtering with Event-Triggered Communication
Robust Distributed Kalman filtering with Event-Triggered Communication
Organizer
Shing Toung Yau
Speaker
Jia Yi Kang
Time
Thursday, October 20, 2022 8:30 PM - 9:00 PM
Venue
Online
Abstract
I will report a work which is considered the problem of distributed Kalman filtering for sensor networks in the case there are constraints in data transmission and there is model uncertainty. More precisely, they propose two distributed filtering strategies with event-triggered communication where the state estimators are computed according to the least favorable model. The latter belongs to a ball about the nominal model. They also show that both the methods are stable in the sense that the mean-square of the state estimation error is bounded in all the nodes.