Stochastic Stability of Distributed Extended Kalman Filter with Consensus on Estimates

科研成果: 书/报告/会议事项章节会议稿件同行评审

2 引用 (Scopus)

摘要

One of the most important problems in multisensor system is to estimate the states of targets, and Kalman filtering is one of the effective algorithms for estimating. In this paper, we reveal the error behavior of a distributed extended Kalman Filter (DEKF) that consensus on state estimations for general discrete-time nonlinear systems. Under certain conditions and appropriately choosing the adjustable consensus gain, we employ Lyapunov techniques to prove that all estimation errors remain bounded and all estimators converge to a consensus on state estimates. Furthermore, several lemmas are introduced to support the Lyapunov stability analysis.

源语言英语
主期刊名2018 Annual American Control Conference, ACC 2018
出版商Institute of Electrical and Electronics Engineers Inc.
1021-1026
页数6
ISBN(印刷版)9781538654286
DOI
出版状态已出版 - 9 8月 2018
活动2018 Annual American Control Conference, ACC 2018 - Milwauke, 美国
期限: 27 6月 201829 6月 2018

出版系列

姓名Proceedings of the American Control Conference
2018-June
ISSN(印刷版)0743-1619

会议

会议2018 Annual American Control Conference, ACC 2018
国家/地区美国
Milwauke
时期27/06/1829/06/18

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