@inproceedings{e244d61ad9a7403ca7ee9e25625adbb9,
title = "Distributed Kalman filtering using the internal model average consensus estimator",
abstract = "We apply the internal model average consensus estimator in [1] to distributed Kalman filtering. The resulting distributed Kalman filter and the embedded average consensus estimator update at the same frequency. We show that if the internal model average consensus estimator is stable, the estimation error of the distributed Kalman filter is zero mean in steady state and has bounded covariance even when the dynamical system to be estimated is neutrally stable or unstable.",
author = "He Bai and Freeman, {Randy A.} and Lynch, {Kevin M.}",
year = "2011",
month = sep,
day = "29",
language = "English (US)",
isbn = "9781457700804",
series = "Proceedings of the American Control Conference",
pages = "1500--1505",
booktitle = "Proceedings of the 2011 American Control Conference, ACC 2011",
note = "2011 American Control Conference, ACC 2011 ; Conference date: 29-06-2011 Through 01-07-2011",
}