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Distributed Kalman filter in a network of linear systems

descriptionPublicationkeyboard_double_arrow_right Article 01 Jun 2018 Australia, Argentina English Publisher:Elsevier BVJournal:Systems & Control Letters, volume 116, pages 71-77 (issn: 0167-6911, Copyright policy )
Authors: Damián Marelli; Mohsen Zamani; Minyue Fu 0001; Brett Ninness;

doi: 10.1016/j.sysconle.2018.04.005

handle: 11336/88911 , 1959.13/1445952

Distributed Kalman filter in a network of linear systems

Abstract

zbMATH Open Web Interface contents unavailable due to conflicting licenses.

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Australia, Argentina
Related Organizations
Keywords

distributed systems, 000, estimation, DISTRIBUTED SYSTEMS, Filtering in stochastic control theory, Large-scale systems, Linear systems in control theory, ESTIMATION, https://purl.org/becyt/ford/2.2, Kalman filter, https://purl.org/becyt/ford/2, KALMAN FILTER

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    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 36
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
36
Top 10%
Top 10%
Top 10%
Green