A new distributed Kalman filtering based on mean-square estimation upper bounds
type: Item
instance of: scholarly article
title: A new distributed Kalman filtering based on mean-square estimation upper bounds
zbMATH Open document ID: 1390.93797
published in: Journal of the Franklin Institute
publication date: 2018-06-27T00:00:00Z
Mathematics Subject Classification ID: 93E11
Mathematics Subject Classification ID: 93E10
zbMATH DE Number: 6895009
zbMATH Keywords: Kalman filtering
zbMATH Keywords: mean-square estimation upper bounds
zbMATH Keywords: signal model
zbMATH Keywords: neighbor information
author: Zhi-Peng Li
author: Minyue Fu
author: Huanshui Zhang
MaRDI profile type: Publication
full work available at URL: j.jfranklin.2018.01.044
OpenAlex ID: W2789317686
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cites work: Stability of consensus extended Kalman filter for distributed state estimation
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cites work: Distributed weighted least-squares estimation with fast convergence for large-scale systems
cites work: Cone-bounded nonlinearities and mean-square bounds--Estimation upper bound
cites work: Q3993534
cites work: Mathematical analysis II. Translated from the 4th and 6th Russian editions by Roger Cooke and Octavio T. Paniagua
Wikidata QID: Q130118898
DOI: 10.1016/J.JFRANKLIN.2018.01.044
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description: scientific article; zbMATH DE number 6895009