Dynamic ‘back‐off’ analysis: use of piecewise linear approximations

Autores
Figueroa, Jose Luis; Desages, Alfredo Cecilio
Año de publicación
2003
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The operating point of a process is usually computed by optimizing an objective function, e.g. the profit, subject to some plant characteristics. Typically, the resulting point lies on the boundary of the operating region. At this point, the presence of disturbances can easily cause constraint violations and make the process move to the unfeasible region. Then, it is necessary to move the operating point away into the feasible region by considering the effect that the expected disturbances will have on the operation of the plant. The purpose of this paper is to present an efficient algorithm to modify the operating point in order to keep feasibility (both in steady-state and along transitory) in the process operation against the disturbances.
Fil: Figueroa, Jose Luis. Universidad Nacional del Sur. Departamento de Ingeniería Eléctrica y de Computadoras; Argentina. 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
Fil: Desages, Alfredo Cecilio. Universidad Nacional del Sur. Departamento de Ingeniería Eléctrica y de Computadoras; Argentina
Materia
OPTIMIZING CONTROL
CANONICAL PIECEWISE LINEAR APPROXIMATIONS
DYNAMIC OPTIMIZATION
BACK-OFF
COAL-FIRED STEAM GENERATOR 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:11336/104105
Acceder
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network_acronym_str CONICETDig
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network_name_str CONICET Digital (CONICET)
spelling Dynamic ‘back‐off’ analysis: use of piecewise linear approximationsFigueroa, Jose LuisDesages, Alfredo CecilioOPTIMIZING CONTROLCANONICAL PIECEWISE LINEAR APPROXIMATIONSDYNAMIC OPTIMIZATIONBACK-OFFCOAL-FIRED STEAM GENERATOR CONTROLhttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2The operating point of a process is usually computed by optimizing an objective function, e.g. the profit, subject to some plant characteristics. Typically, the resulting point lies on the boundary of the operating region. At this point, the presence of disturbances can easily cause constraint violations and make the process move to the unfeasible region. Then, it is necessary to move the operating point away into the feasible region by considering the effect that the expected disturbances will have on the operation of the plant. The purpose of this paper is to present an efficient algorithm to modify the operating point in order to keep feasibility (both in steady-state and along transitory) in the process operation against the disturbances.Fil: Figueroa, Jose Luis. Universidad Nacional del Sur. Departamento de Ingeniería Eléctrica y de Computadoras; Argentina. 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; ArgentinaFil: Desages, Alfredo Cecilio. Universidad Nacional del Sur. Departamento de Ingeniería Eléctrica y de Computadoras; ArgentinaJohn Wiley & Sons Ltd2003-04-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/104105Figueroa, Jose Luis; Desages, Alfredo Cecilio; Dynamic ‘back‐off’ analysis: use of piecewise linear approximations; John Wiley & Sons Ltd; Optimal Control Applications & Methods; 24; 2; 10-4-2003; 103-1200143-2087CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/abs/10.1002/oca.724info:eu-repo/semantics/altIdentifier/doi/10.1002/oca.724info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T14:43:38Zoai:ri.conicet.gov.ar:11336/104105instacron: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:34982025-10-15 14:43:38.422CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Dynamic ‘back‐off’ analysis: use of piecewise linear approximations
title Dynamic ‘back‐off’ analysis: use of piecewise linear approximations
spellingShingle Dynamic ‘back‐off’ analysis: use of piecewise linear approximations
Figueroa, Jose Luis
OPTIMIZING CONTROL
CANONICAL PIECEWISE LINEAR APPROXIMATIONS
DYNAMIC OPTIMIZATION
BACK-OFF
COAL-FIRED STEAM GENERATOR CONTROL
title_short Dynamic ‘back‐off’ analysis: use of piecewise linear approximations
title_full Dynamic ‘back‐off’ analysis: use of piecewise linear approximations
title_fullStr Dynamic ‘back‐off’ analysis: use of piecewise linear approximations
title_full_unstemmed Dynamic ‘back‐off’ analysis: use of piecewise linear approximations
title_sort Dynamic ‘back‐off’ analysis: use of piecewise linear approximations
dc.creator.none.fl_str_mv Figueroa, Jose Luis
Desages, Alfredo Cecilio
author Figueroa, Jose Luis
author_facet Figueroa, Jose Luis
Desages, Alfredo Cecilio
author_role author
author2 Desages, Alfredo Cecilio
author2_role author
dc.subject.none.fl_str_mv OPTIMIZING CONTROL
CANONICAL PIECEWISE LINEAR APPROXIMATIONS
DYNAMIC OPTIMIZATION
BACK-OFF
COAL-FIRED STEAM GENERATOR CONTROL
topic OPTIMIZING CONTROL
CANONICAL PIECEWISE LINEAR APPROXIMATIONS
DYNAMIC OPTIMIZATION
BACK-OFF
COAL-FIRED STEAM GENERATOR CONTROL
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv The operating point of a process is usually computed by optimizing an objective function, e.g. the profit, subject to some plant characteristics. Typically, the resulting point lies on the boundary of the operating region. At this point, the presence of disturbances can easily cause constraint violations and make the process move to the unfeasible region. Then, it is necessary to move the operating point away into the feasible region by considering the effect that the expected disturbances will have on the operation of the plant. The purpose of this paper is to present an efficient algorithm to modify the operating point in order to keep feasibility (both in steady-state and along transitory) in the process operation against the disturbances.
Fil: Figueroa, Jose Luis. Universidad Nacional del Sur. Departamento de Ingeniería Eléctrica y de Computadoras; Argentina. 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
Fil: Desages, Alfredo Cecilio. Universidad Nacional del Sur. Departamento de Ingeniería Eléctrica y de Computadoras; Argentina
description The operating point of a process is usually computed by optimizing an objective function, e.g. the profit, subject to some plant characteristics. Typically, the resulting point lies on the boundary of the operating region. At this point, the presence of disturbances can easily cause constraint violations and make the process move to the unfeasible region. Then, it is necessary to move the operating point away into the feasible region by considering the effect that the expected disturbances will have on the operation of the plant. The purpose of this paper is to present an efficient algorithm to modify the operating point in order to keep feasibility (both in steady-state and along transitory) in the process operation against the disturbances.
publishDate 2003
dc.date.none.fl_str_mv 2003-04-10
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/11336/104105
Figueroa, Jose Luis; Desages, Alfredo Cecilio; Dynamic ‘back‐off’ analysis: use of piecewise linear approximations; John Wiley & Sons Ltd; Optimal Control Applications & Methods; 24; 2; 10-4-2003; 103-120
0143-2087
CONICET Digital
CONICET
url http://hdl.handle.net/11336/104105
identifier_str_mv Figueroa, Jose Luis; Desages, Alfredo Cecilio; Dynamic ‘back‐off’ analysis: use of piecewise linear approximations; John Wiley & Sons Ltd; Optimal Control Applications & Methods; 24; 2; 10-4-2003; 103-120
0143-2087
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://onlinelibrary.wiley.com/doi/abs/10.1002/oca.724
info:eu-repo/semantics/altIdentifier/doi/10.1002/oca.724
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 John Wiley & Sons Ltd
publisher.none.fl_str_mv John Wiley & Sons Ltd
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
_version_ 1846082942713987072
score 13.22299

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