Distributed estimation design for LTI systems: a linear quadratic approach

This paper deals with the problem of distributedly estimate the state of a plant through a network of interconnected agents. Each of these agents must perform a real-time monitoring of the plant state, counting on the measurements of local plant outputs and on the exchange of information with neighb...

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Detalles Bibliográficos
Autores: Rodríguez Del Nozal, Álvaro, Orihuela Espina, Diego Luis, Millán Gata, Pablo
Tipo de recurso: artículo
Fecha de publicación:2019
País:España
Institución:Universidad Loyola Andalucía
Repositorio:Brújula
OAI Identifier:oai:repositorio.uloyola.es:20.500.12412/4360
Acceso en línea:https://hdl.handle.net/20.500.12412/4360
Access Level:acceso abierto
Palabra clave:Multi agent systems
State Estimation
Distributed Estimation
LTI-systems
Linera Quadratic
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oai_identifier_str oai:repositorio.uloyola.es:20.500.12412/4360
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repository_id_str
spelling Distributed estimation design for LTI systems: a linear quadratic approachRodríguez Del Nozal, ÁlvaroOrihuela Espina, Diego LuisMillán Gata, PabloMulti agent systemsState EstimationDistributed EstimationLTI-systemsLinera QuadraticThis paper deals with the problem of distributedly estimate the state of a plant through a network of interconnected agents. Each of these agents must perform a real-time monitoring of the plant state, counting on the measurements of local plant outputs and on the exchange of information with neighbouring agents. The paper introduces a distributed LQ-based design that is applied to a distributed observer structure based on a multi-hop subspace decomposition. Stability and optimality conditions are derived and tested in simulation. Finally, the design method presented allows the user, through the tune of two scalar parameters, to modify the observer gains according to their experience about the plant.2019info:eu-repo/semantics/articlehttps://hdl.handle.net/20.500.12412/4360reponame:Brújulainstname:Universidad Loyola AndalucíaIngléshttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:repositorio.uloyola.es:20.500.12412/43602026-06-24T12:48:37Z
dc.title.none.fl_str_mv Distributed estimation design for LTI systems: a linear quadratic approach
title Distributed estimation design for LTI systems: a linear quadratic approach
spellingShingle Distributed estimation design for LTI systems: a linear quadratic approach
Rodríguez Del Nozal, Álvaro
Multi agent systems
State Estimation
Distributed Estimation
LTI-systems
Linera Quadratic
title_short Distributed estimation design for LTI systems: a linear quadratic approach
title_full Distributed estimation design for LTI systems: a linear quadratic approach
title_fullStr Distributed estimation design for LTI systems: a linear quadratic approach
title_full_unstemmed Distributed estimation design for LTI systems: a linear quadratic approach
title_sort Distributed estimation design for LTI systems: a linear quadratic approach
dc.creator.none.fl_str_mv Rodríguez Del Nozal, Álvaro
Orihuela Espina, Diego Luis
Millán Gata, Pablo
author Rodríguez Del Nozal, Álvaro
author_facet Rodríguez Del Nozal, Álvaro
Orihuela Espina, Diego Luis
Millán Gata, Pablo
author_role author
author2 Orihuela Espina, Diego Luis
Millán Gata, Pablo
author2_role author
author
dc.subject.none.fl_str_mv Multi agent systems
State Estimation
Distributed Estimation
LTI-systems
Linera Quadratic
topic Multi agent systems
State Estimation
Distributed Estimation
LTI-systems
Linera Quadratic
description This paper deals with the problem of distributedly estimate the state of a plant through a network of interconnected agents. Each of these agents must perform a real-time monitoring of the plant state, counting on the measurements of local plant outputs and on the exchange of information with neighbouring agents. The paper introduces a distributed LQ-based design that is applied to a distributed observer structure based on a multi-hop subspace decomposition. Stability and optimality conditions are derived and tested in simulation. Finally, the design method presented allows the user, through the tune of two scalar parameters, to modify the observer gains according to their experience about the plant.
publishDate 2019
dc.date.none.fl_str_mv 2019
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/20.500.12412/4360
url https://hdl.handle.net/20.500.12412/4360
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:Brújula
instname:Universidad Loyola Andalucía
instname_str Universidad Loyola Andalucía
reponame_str Brújula
collection Brújula
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,812455

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