Sensor-network-based robust distributed control and estimation

This paper proposes a novel distributed estimation and control method for uncertain plants. It is of application in the case of large-scale systems, where each control unit is assumed to have access only to a subset of the plant outputs, and possibly controls a restricted subset of input channels. A...

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Detalles Bibliográficos
Autores: Millán Gata, Pablo, Orihuela Espina, Diego Luis, Vivas Venegas, Carlos, Rodríguez Rubio, Francisco, Dimarogonas, D.V., Johansson, K.H.
Tipo de recurso: artículo
Estado:Versión enviada para evaluación y publicación
Fecha de publicación:2013
País:España
Institución:Universidad de Sevilla (US)
Repositorio:idUS. Depósito de Investigación de la Universidad de Sevilla
OAI Identifier:oai:idus.us.es:11441/103668
Acceso en línea:https://hdl.handle.net/11441/103668
https://doi.org/10.1016/j.conengprac.2013.05.002
Access Level:acceso abierto
Palabra clave:Distributed estimation and control
Sensor networks
Process control
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spelling Sensor-network-based robust distributed control and estimationMillán Gata, PabloOrihuela Espina, Diego LuisVivas Venegas, CarlosRodríguez Rubio, FranciscoDimarogonas, D.V.Johansson, K.H.Distributed estimation and controlSensor networksProcess controlThis paper proposes a novel distributed estimation and control method for uncertain plants. It is of application in the case of large-scale systems, where each control unit is assumed to have access only to a subset of the plant outputs, and possibly controls a restricted subset of input channels. A constrained communication topology between nodes is considered so the units can benefit from estimates of neighboring nodes to build their own estimates. The paper proposes a methodology to design a distributed control structure so that the system is asymptotically driven to equilibrium with L2-gain disturbance rejection capabilities. A difficulty that arises is that the separation principle does not hold, as every single unit ignores the control action that other units might be applying. To overcome this, a two-stage design is proposed: firstly, the distributed controllers are obtained to robustly stabilize the plant despite the observation errors in the controlled output. At the second stage, the distributed observers are designed aiming to minimize the effects of the communication noise in the observation error. Both stages are formulated in terms of linear matrix inequalities. The performance is shown on a level-control real plant.Ministerio de Ciencia y Tecnología DPI2010-19154ElsevierIngeniería de Sistemas y Automática2013info:eu-repo/semantics/articleinfo:eu-repo/semantics/submittedVersionapplication/pdfapplication/pdfhttps://hdl.handle.net/11441/103668https://doi.org/10.1016/j.conengprac.2013.05.002reponame:idUS. Depósito de Investigación de la Universidad de Sevillainstname:Universidad de Sevilla (US)InglésControl Engineering Practice, 21 (9), 1238-1249.DPI2010-19154https://www.sciencedirect.com/science/article/abs/pii/S0967066113000865#!info:eu-repo/semantics/openAccessoai:idus.us.es:11441/1036682026-06-17T12:51:07Z
dc.title.none.fl_str_mv Sensor-network-based robust distributed control and estimation
title Sensor-network-based robust distributed control and estimation
spellingShingle Sensor-network-based robust distributed control and estimation
Millán Gata, Pablo
Distributed estimation and control
Sensor networks
Process control
title_short Sensor-network-based robust distributed control and estimation
title_full Sensor-network-based robust distributed control and estimation
title_fullStr Sensor-network-based robust distributed control and estimation
title_full_unstemmed Sensor-network-based robust distributed control and estimation
title_sort Sensor-network-based robust distributed control and estimation
dc.creator.none.fl_str_mv Millán Gata, Pablo
Orihuela Espina, Diego Luis
Vivas Venegas, Carlos
Rodríguez Rubio, Francisco
Dimarogonas, D.V.
Johansson, K.H.
author Millán Gata, Pablo
author_facet Millán Gata, Pablo
Orihuela Espina, Diego Luis
Vivas Venegas, Carlos
Rodríguez Rubio, Francisco
Dimarogonas, D.V.
Johansson, K.H.
author_role author
author2 Orihuela Espina, Diego Luis
Vivas Venegas, Carlos
Rodríguez Rubio, Francisco
Dimarogonas, D.V.
Johansson, K.H.
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Ingeniería de Sistemas y Automática
dc.subject.none.fl_str_mv Distributed estimation and control
Sensor networks
Process control
topic Distributed estimation and control
Sensor networks
Process control
description This paper proposes a novel distributed estimation and control method for uncertain plants. It is of application in the case of large-scale systems, where each control unit is assumed to have access only to a subset of the plant outputs, and possibly controls a restricted subset of input channels. A constrained communication topology between nodes is considered so the units can benefit from estimates of neighboring nodes to build their own estimates. The paper proposes a methodology to design a distributed control structure so that the system is asymptotically driven to equilibrium with L2-gain disturbance rejection capabilities. A difficulty that arises is that the separation principle does not hold, as every single unit ignores the control action that other units might be applying. To overcome this, a two-stage design is proposed: firstly, the distributed controllers are obtained to robustly stabilize the plant despite the observation errors in the controlled output. At the second stage, the distributed observers are designed aiming to minimize the effects of the communication noise in the observation error. Both stages are formulated in terms of linear matrix inequalities. The performance is shown on a level-control real plant.
publishDate 2013
dc.date.none.fl_str_mv 2013
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/submittedVersion
format article
status_str submittedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/11441/103668
https://doi.org/10.1016/j.conengprac.2013.05.002
url https://hdl.handle.net/11441/103668
https://doi.org/10.1016/j.conengprac.2013.05.002
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Control Engineering Practice, 21 (9), 1238-1249.
DPI2010-19154
https://www.sciencedirect.com/science/article/abs/pii/S0967066113000865#!
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:idUS. Depósito de Investigación de la Universidad de Sevilla
instname:Universidad de Sevilla (US)
instname_str Universidad de Sevilla (US)
reponame_str idUS. Depósito de Investigación de la Universidad de Sevilla
collection idUS. Depósito de Investigación de la Universidad de Sevilla
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,301629

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