@inproceedings{4710945a463f4735b3afaadc71fb1434,
title = "Distributed receding horizon estimation for sensor networks with improved consensus strategy",
abstract = "The distributed estimation problem is one of the most essential issues in sensor networks. This paper studies the consensus estimation problem of linear sensor networks based on the distributed receding horizon estimation (RHE) scheme. To design such a consensus estimation scheme, a novel optimization problem is first formulated for each sensor node, by proposing a new consensus strategy. The explicit solution to each optimization problem is provided and the iterative estimation scheme is established. Under the assumption that the communication graph contains a spanning tree, the sufficient conditions for ensuring robust consensus estimation are developed. It is shown that, the estimation error between any two sensor nodes is upper bounded by a value that is related with the energy bound of the sensor noise.",
keywords = "consensus estimation, Distributed estimation, receding horizon estimation, sensor networks",
author = "Huiping Li and Yang Shi and Weisheng Yan",
note = "Publisher Copyright: {\textcopyright} 2014 TCCT, CAA.; Proceedings of the 33rd Chinese Control Conference, CCC 2014 ; Conference date: 28-07-2014 Through 30-07-2014",
year = "2014",
month = sep,
day = "11",
doi = "10.1109/ChiCC.2014.6896641",
language = "英语",
series = "Proceedings of the 33rd Chinese Control Conference, CCC 2014",
publisher = "IEEE Computer Society",
pages = "316--321",
editor = "Shengyuan Xu and Qianchuan Zhao",
booktitle = "Proceedings of the 33rd Chinese Control Conference, CCC 2014",
}