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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/104105
Ver los metadatos del registro completo
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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 Técnicas2025-09-29T09:49:35Zoai: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:34982025-09-29 09:49:35.254CONICET 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 |
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1844613533813178368 |
score |
13.070432 |