Decentralised estimation with correlation limited by optimal processing of independent data
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F19%3A43954764" target="_blank" >RIV/49777513:23520/19:43954764 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1016/j.automatica.2018.10.036" target="_blank" >http://dx.doi.org/10.1016/j.automatica.2018.10.036</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.automatica.2018.10.036" target="_blank" >10.1016/j.automatica.2018.10.036</a>
Alternative languages
Result language
angličtina
Original language name
Decentralised estimation with correlation limited by optimal processing of independent data
Original language description
Decentralised estimation aims at providing the best combination of multiple estimates. Since the exact solutions are expensive in terms of computation and communication requirements, the mean square error optimality is traded for the bound optimality. Fusion under unknown correlations has been inspected for two decades and the research now focuses on a partial knowledge of the correlations. This paper focuses on the assumption that the estimates to be fused were obtained by the optimal processing of local data with independent measurement errors. A generalisation of a recent solution to such a problem is proposed. In particular, non-uniqueness of the optimal fusion weights is discovered. The relation of the generalised and existing solutions is discussed and illustrative examples are given.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20205 - Automation and control systems
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Automatica
ISSN
0005-1098
e-ISSN
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Volume of the periodical
99
Issue of the periodical within the volume
January 2019
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
6
Pages from-to
132-137
UT code for WoS article
000454965300014
EID of the result in the Scopus database
2-s2.0-85056169563