Decentralised estimation with correlation limited by optimal processing of independent data

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Decentralised estimation with correlation limited by optimal processing of independent data

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Decentralised estimation with correlation limited by optimal processing of independent data

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20205 - Automation and control systems

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Automatica

ISSN

0005-1098

e-ISSN

—

Svazek periodika

99

Číslo periodika v rámci svazku

January 2019

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

6

Strana od-do

132-137

Kód UT WoS článku

000454965300014

EID výsledku v databázi Scopus

2-s2.0-85056169563