Controlled-Variable Selection based on Chaos Theory for the Tennessee Eastman Plant

Autores
Yapur, Sergio Federico
Año de publicación
2021
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
This work explores a link between chaotic signals and the selection ofcontrolled variables for plantwide control system design. Some results areshown for the Tennessee Eastman plant, which is well-known for being achallenging process in the field of plant-wide control. This article provides asystematic, data-driven method to select which variables should be controlled.However, since plantwide control problems are inherently complex, this workdoes not intend to provide a definite solution, but a complementary analysis totake into account towards the final control system design. The discussionhighlights the potential hidden in the chaos theory to reduce the complexity ofthe resulting control system.
Fil: Yapur, Sergio Federico. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; Argentina. Universidad Nacional del Litoral. Facultad de Ingeniería Química; Argentina
Materia
Control
Chaos
Plantwide
Eastman
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:11336/167486
Acceder
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spelling Controlled-Variable Selection based on Chaos Theory for the Tennessee Eastman PlantYapur, Sergio FedericoControlChaosPlantwideEastmanhttps://purl.org/becyt/ford/2.11https://purl.org/becyt/ford/2This work explores a link between chaotic signals and the selection ofcontrolled variables for plantwide control system design. Some results areshown for the Tennessee Eastman plant, which is well-known for being achallenging process in the field of plant-wide control. This article provides asystematic, data-driven method to select which variables should be controlled.However, since plantwide control problems are inherently complex, this workdoes not intend to provide a definite solution, but a complementary analysis totake into account towards the final control system design. The discussionhighlights the potential hidden in the chaos theory to reduce the complexity ofthe resulting control system.Fil: Yapur, Sergio Federico. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; Argentina. Universidad Nacional del Litoral. Facultad de Ingeniería Química; ArgentinaCornell University2021-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/167486Yapur, Sergio Federico; Controlled-Variable Selection based on Chaos Theory for the Tennessee Eastman Plant; Cornell University; arXiv.org; 10-2021; 1-72331-8422CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/arxiv/https://arxiv.org/abs/2110.01759info:eu-repo/semantics/altIdentifier/doi/10.48550/arXiv.2110.01759info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:17:18Zoai:ri.conicet.gov.ar:11336/167486instacron: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:34982025-09-29 10:17:18.601CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Controlled-Variable Selection based on Chaos Theory for the Tennessee Eastman Plant
title Controlled-Variable Selection based on Chaos Theory for the Tennessee Eastman Plant
spellingShingle Controlled-Variable Selection based on Chaos Theory for the Tennessee Eastman Plant
Yapur, Sergio Federico
Control
Chaos
Plantwide
Eastman
title_short Controlled-Variable Selection based on Chaos Theory for the Tennessee Eastman Plant
title_full Controlled-Variable Selection based on Chaos Theory for the Tennessee Eastman Plant
title_fullStr Controlled-Variable Selection based on Chaos Theory for the Tennessee Eastman Plant
title_full_unstemmed Controlled-Variable Selection based on Chaos Theory for the Tennessee Eastman Plant
title_sort Controlled-Variable Selection based on Chaos Theory for the Tennessee Eastman Plant
dc.creator.none.fl_str_mv Yapur, Sergio Federico
author Yapur, Sergio Federico
author_facet Yapur, Sergio Federico
author_role author
dc.subject.none.fl_str_mv Control
Chaos
Plantwide
Eastman
topic Control
Chaos
Plantwide
Eastman
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.11
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv This work explores a link between chaotic signals and the selection ofcontrolled variables for plantwide control system design. Some results areshown for the Tennessee Eastman plant, which is well-known for being achallenging process in the field of plant-wide control. This article provides asystematic, data-driven method to select which variables should be controlled.However, since plantwide control problems are inherently complex, this workdoes not intend to provide a definite solution, but a complementary analysis totake into account towards the final control system design. The discussionhighlights the potential hidden in the chaos theory to reduce the complexity ofthe resulting control system.
Fil: Yapur, Sergio Federico. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; Argentina. Universidad Nacional del Litoral. Facultad de Ingeniería Química; Argentina
description This work explores a link between chaotic signals and the selection ofcontrolled variables for plantwide control system design. Some results areshown for the Tennessee Eastman plant, which is well-known for being achallenging process in the field of plant-wide control. This article provides asystematic, data-driven method to select which variables should be controlled.However, since plantwide control problems are inherently complex, this workdoes not intend to provide a definite solution, but a complementary analysis totake into account towards the final control system design. The discussionhighlights the potential hidden in the chaos theory to reduce the complexity ofthe resulting control system.
publishDate 2021
dc.date.none.fl_str_mv 2021-10
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/11336/167486
Yapur, Sergio Federico; Controlled-Variable Selection based on Chaos Theory for the Tennessee Eastman Plant; Cornell University; arXiv.org; 10-2021; 1-7
2331-8422
CONICET Digital
CONICET
url http://hdl.handle.net/11336/167486
identifier_str_mv Yapur, Sergio Federico; Controlled-Variable Selection based on Chaos Theory for the Tennessee Eastman Plant; Cornell University; arXiv.org; 10-2021; 1-7
2331-8422
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/arxiv/https://arxiv.org/abs/2110.01759
info:eu-repo/semantics/altIdentifier/doi/10.48550/arXiv.2110.01759
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
application/pdf
dc.publisher.none.fl_str_mv Cornell University
publisher.none.fl_str_mv Cornell University
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 13.070432

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