Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4974134 | Journal of the Franklin Institute | 2017 | 25 Pages |
Abstract
This paper deals with the distributed estimation problem for networked sensing system with event-triggered communication schedules on both sensor-to-estimator channel and estimator-to-estimator channel. Firstly, an optimal event-triggered Kalman consensus filter (KCF) is derived by minimizing the mean squared error of each estimator based on the send-on-delta triggered protocol. Then, the suboptimal event-triggered KCF is proposed in order to reduce the computational complexity in covariance propagation. Moreover, the formal stability analysis of the estimation error is provided by using the Lyapunov-based approach. Finally, simulation results are presented to demonstrate the effectiveness of the proposed filter.
Related Topics
Physical Sciences and Engineering
Computer Science
Signal Processing
Authors
Cui Zhang, Yingmin Jia,