Decentralized ellipsoidal state estimation for linear model predictive control of an irrigation canal

Autores
Rodriguez Aguilar, Leandro Pedro Faustino; Maestre, J. M.; Camacho, E. F.; Sanchez, Mabel Cristina
Año de publicación
2020
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
A centralized linear MPC is used to stabilize an irrigation system whose operation is represented by an integrator-delay model. Since not all the state variables can be measured, a decentralized ellipsoidal estimation strategy is proposed. This approach keeps the quality of a centralized estimation and reduces significantly the computation time for the systems considered. An adaptation of Test Canal 1, developed by the ASCE Task Committee on Canal Automation Algorithms, is used as a case study to show the performance of the proposed methodology.
Fil: Rodriguez Aguilar, Leandro Pedro Faustino. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan; Argentina
Fil: Maestre, J. M.. Universidad de Sevilla. Escuela Técnica Superior de Ingeniería; España
Fil: Camacho, E. F.. Universidad de Sevilla. Escuela Técnica Superior de Ingeniería; España
Fil: Sanchez, Mabel Cristina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina
Materia
DECENTRALIZED
ELLIPSOIDAL STATE ESTIMATION
IRRIGATION CANAL MODEL
PREDICTIVE CONTROL
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/152144
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/152144
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Decentralized ellipsoidal state estimation for linear model predictive control of an irrigation canalRodriguez Aguilar, Leandro Pedro FaustinoMaestre, J. M.Camacho, E. F.Sanchez, Mabel CristinaDECENTRALIZEDELLIPSOIDAL STATE ESTIMATIONIRRIGATION CANAL MODELPREDICTIVE CONTROLhttps://purl.org/becyt/ford/2.11https://purl.org/becyt/ford/2A centralized linear MPC is used to stabilize an irrigation system whose operation is represented by an integrator-delay model. Since not all the state variables can be measured, a decentralized ellipsoidal estimation strategy is proposed. This approach keeps the quality of a centralized estimation and reduces significantly the computation time for the systems considered. An adaptation of Test Canal 1, developed by the ASCE Task Committee on Canal Automation Algorithms, is used as a case study to show the performance of the proposed methodology.Fil: Rodriguez Aguilar, Leandro Pedro Faustino. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan; ArgentinaFil: Maestre, J. M.. Universidad de Sevilla. Escuela Técnica Superior de Ingeniería; EspañaFil: Camacho, E. F.. Universidad de Sevilla. Escuela Técnica Superior de Ingeniería; EspañaFil: Sanchez, Mabel Cristina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; ArgentinaIWA Publishing2020-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/152144Rodriguez Aguilar, Leandro Pedro Faustino; Maestre, J. M.; Camacho, E. F.; Sanchez, Mabel Cristina; Decentralized ellipsoidal state estimation for linear model predictive control of an irrigation canal; IWA Publishing; Journal Of Hydroinformatics; 22; 3; 5-2020; 593-6051464-71411465-1734CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://iwaponline.com/jh/article/doi/10.2166/hydro.2020.150/73612/Decentralized-ellipsoidal-state-estimation-forinfo:eu-repo/semantics/altIdentifier/doi/10.2166/hydro.2020.150info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T11:29:56Zoai:ri.conicet.gov.ar:11336/152144instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-22 11:29:56.516CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Decentralized ellipsoidal state estimation for linear model predictive control of an irrigation canal
title Decentralized ellipsoidal state estimation for linear model predictive control of an irrigation canal
spellingShingle Decentralized ellipsoidal state estimation for linear model predictive control of an irrigation canal
Rodriguez Aguilar, Leandro Pedro Faustino
DECENTRALIZED
ELLIPSOIDAL STATE ESTIMATION
IRRIGATION CANAL MODEL
PREDICTIVE CONTROL
title_short Decentralized ellipsoidal state estimation for linear model predictive control of an irrigation canal
title_full Decentralized ellipsoidal state estimation for linear model predictive control of an irrigation canal
title_fullStr Decentralized ellipsoidal state estimation for linear model predictive control of an irrigation canal
title_full_unstemmed Decentralized ellipsoidal state estimation for linear model predictive control of an irrigation canal
title_sort Decentralized ellipsoidal state estimation for linear model predictive control of an irrigation canal
dc.creator.none.fl_str_mv Rodriguez Aguilar, Leandro Pedro Faustino
Maestre, J. M.
Camacho, E. F.
Sanchez, Mabel Cristina
author Rodriguez Aguilar, Leandro Pedro Faustino
author_facet Rodriguez Aguilar, Leandro Pedro Faustino
Maestre, J. M.
Camacho, E. F.
Sanchez, Mabel Cristina
author_role author
author2 Maestre, J. M.
Camacho, E. F.
Sanchez, Mabel Cristina
author2_role author
author
author
dc.subject.none.fl_str_mv DECENTRALIZED
ELLIPSOIDAL STATE ESTIMATION
IRRIGATION CANAL MODEL
PREDICTIVE CONTROL
topic DECENTRALIZED
ELLIPSOIDAL STATE ESTIMATION
IRRIGATION CANAL MODEL
PREDICTIVE CONTROL
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.11
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv A centralized linear MPC is used to stabilize an irrigation system whose operation is represented by an integrator-delay model. Since not all the state variables can be measured, a decentralized ellipsoidal estimation strategy is proposed. This approach keeps the quality of a centralized estimation and reduces significantly the computation time for the systems considered. An adaptation of Test Canal 1, developed by the ASCE Task Committee on Canal Automation Algorithms, is used as a case study to show the performance of the proposed methodology.
Fil: Rodriguez Aguilar, Leandro Pedro Faustino. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan; Argentina
Fil: Maestre, J. M.. Universidad de Sevilla. Escuela Técnica Superior de Ingeniería; España
Fil: Camacho, E. F.. Universidad de Sevilla. Escuela Técnica Superior de Ingeniería; España
Fil: Sanchez, Mabel Cristina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina
description A centralized linear MPC is used to stabilize an irrigation system whose operation is represented by an integrator-delay model. Since not all the state variables can be measured, a decentralized ellipsoidal estimation strategy is proposed. This approach keeps the quality of a centralized estimation and reduces significantly the computation time for the systems considered. An adaptation of Test Canal 1, developed by the ASCE Task Committee on Canal Automation Algorithms, is used as a case study to show the performance of the proposed methodology.
publishDate 2020
dc.date.none.fl_str_mv 2020-05
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/152144
Rodriguez Aguilar, Leandro Pedro Faustino; Maestre, J. M.; Camacho, E. F.; Sanchez, Mabel Cristina; Decentralized ellipsoidal state estimation for linear model predictive control of an irrigation canal; IWA Publishing; Journal Of Hydroinformatics; 22; 3; 5-2020; 593-605
1464-7141
1465-1734
CONICET Digital
CONICET
url http://hdl.handle.net/11336/152144
identifier_str_mv Rodriguez Aguilar, Leandro Pedro Faustino; Maestre, J. M.; Camacho, E. F.; Sanchez, Mabel Cristina; Decentralized ellipsoidal state estimation for linear model predictive control of an irrigation canal; IWA Publishing; Journal Of Hydroinformatics; 22; 3; 5-2020; 593-605
1464-7141
1465-1734
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://iwaponline.com/jh/article/doi/10.2166/hydro.2020.150/73612/Decentralized-ellipsoidal-state-estimation-for
info:eu-repo/semantics/altIdentifier/doi/10.2166/hydro.2020.150
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv IWA Publishing
publisher.none.fl_str_mv IWA Publishing
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 12.982451

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