Consensus-based distributed sensor fusion over a network
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F17%3A00324399" target="_blank" >RIV/68407700:21230/17:00324399 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Consensus-based distributed sensor fusion over a network
Original language description
This paper studies the distributed filtering of noisy measurements of one scalar quantity. The considered network is composed of two sets of nodes: sensing nodes which perform the measuring task and non-sensing nodes which mediate between the sensing nodes. Inspired by Bayesian sensor fusion, three consensus-based algorithms are proposed. In the algorithms, graph edge weights in effect are determined based on variances of measurements of all the sensors. Evolution dynamics of the expected values and covariances of the state estimates throughout the network is analyzed. Numerical simulations are given to examine the fusion performance of the proposed scheme. The results are fairly consistent with the analytical solution regarding the statistical properties of the steady-state state estimates in the network.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20205 - Automation and control systems
Result continuities
Project
<a href="/en/project/GJ16-25493Y" target="_blank" >GJ16-25493Y: Use of Cooperative Distributed Multi-agent Systems for Estimation and Control of Distributed Parameter Systems</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2017 IEEE CONFERENCE ON CONTROL TECHNOLOGY AND APPLICATIONS
ISBN
978-1-5090-2182-6
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
674-679
Publisher name
IEEE
Place of publication
Piscataway, NJ
Event location
Kohala Coast, Hawai
Event date
Aug 27, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000426981500110