Real-time optimization modifier adaptation approach using quadratic approximation of the plant-model mismatch function

Autores
Bottari, Agustín
Año de publicación
2024
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Material suplementario disponible en https://doi.org/10.1016/j.jprocont.2024.103180
Fil: Bottari, Agustín. Pontificia Universidad Católica Argentina. Facultad de Química e Ingeniería del Rosario. Argentina
Fil: Bottari, Agustín. Consejo Nacional de Investigaciones Científicas y Tecnológicas. Instituto de Investigaciones en Ingeniería Ambiental, Química y Biotecnología Aplicada. Argentina
Abstract: The present work proposes a real-time optimization modifier adaptation scheme (RTO MA) in which the modifiers are obtained through a quadratic approximation of the plant-model mismatch function. The work also highlights the links between the model used in the trust-region framework, the model used in bias, gradient, and Hessian-based RTO MA schemes, and the model used in function-based RTO MA. In line with this, general conditions are established for the adapted nominal model for use on the basic trust-region algorithm. The proposed modifiers are then incorporated into an iterative algorithm of the real-time modifier adaptation scheme complemented with a trust-region framework. The effectiveness of the approach is demonstrated in simulation for the optimization of a continuous stirred tank reactor.
Fuente
Facultad de Química e Ingeniería del Rosario
Materia
RTO MA
ALGORITMOS
SISTEMA DE OPTIMIZACION
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
Repositorio Institucional (UCA)
Institución
Pontificia Universidad Católica Argentina
OAI Identificador
oai:ucacris:123456789/18248
Acceder
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oai_identifier_str oai:ucacris:123456789/18248
network_acronym_str RIUCA
repository_id_str 2585
network_name_str Repositorio Institucional (UCA)
spelling Real-time optimization modifier adaptation approach using quadratic approximation of the plant-model mismatch functionBottari, AgustínRTO MAALGORITMOSSISTEMA DE OPTIMIZACIONMaterial suplementario disponible en https://doi.org/10.1016/j.jprocont.2024.103180Fil: Bottari, Agustín. Pontificia Universidad Católica Argentina. Facultad de Química e Ingeniería del Rosario. ArgentinaFil: Bottari, Agustín. Consejo Nacional de Investigaciones Científicas y Tecnológicas. Instituto de Investigaciones en Ingeniería Ambiental, Química y Biotecnología Aplicada. ArgentinaAbstract: The present work proposes a real-time optimization modifier adaptation scheme (RTO MA) in which the modifiers are obtained through a quadratic approximation of the plant-model mismatch function. The work also highlights the links between the model used in the trust-region framework, the model used in bias, gradient, and Hessian-based RTO MA schemes, and the model used in function-based RTO MA. In line with this, general conditions are established for the adapted nominal model for use on the basic trust-region algorithm. The proposed modifiers are then incorporated into an iterative algorithm of the real-time modifier adaptation scheme complemented with a trust-region framework. The effectiveness of the approach is demonstrated in simulation for the optimization of a continuous stirred tank reactor.Elsevier2024info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttps://repositorio.uca.edu.ar/handle/123456789/182480959-1524 (impreso)1873-2771 (online)https://doi.org/10.1016/j.jprocont.2024.103180Bottari, A. Real-time optimization modifier adaptation approach using quadratic approximation of the plant-model mismatch function [en línea]. Journal of Process Control. 2024, (136). Disponible en: https://repositorio.uca.edu.ar/handle/123456789/18248Facultad de Química e Ingeniería del Rosarioreponame:Repositorio Institucional (UCA)instname:Pontificia Universidad Católica Argentinaenghttp://creativecommons.org/licenses/by-nc-sa/4.0/info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/4.0/2025-07-03T10:59:49Zoai:ucacris:123456789/18248instacron:UCAInstitucionalhttps://repositorio.uca.edu.ar/Universidad privadaNo correspondehttps://repositorio.uca.edu.ar/oaiclaudia_fernandez@uca.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:25852025-07-03 10:59:50.042Repositorio Institucional (UCA) - Pontificia Universidad Católica Argentinafalse
dc.title.none.fl_str_mv Real-time optimization modifier adaptation approach using quadratic approximation of the plant-model mismatch function
title Real-time optimization modifier adaptation approach using quadratic approximation of the plant-model mismatch function
spellingShingle Real-time optimization modifier adaptation approach using quadratic approximation of the plant-model mismatch function
Bottari, Agustín
RTO MA
ALGORITMOS
SISTEMA DE OPTIMIZACION
title_short Real-time optimization modifier adaptation approach using quadratic approximation of the plant-model mismatch function
title_full Real-time optimization modifier adaptation approach using quadratic approximation of the plant-model mismatch function
title_fullStr Real-time optimization modifier adaptation approach using quadratic approximation of the plant-model mismatch function
title_full_unstemmed Real-time optimization modifier adaptation approach using quadratic approximation of the plant-model mismatch function
title_sort Real-time optimization modifier adaptation approach using quadratic approximation of the plant-model mismatch function
dc.creator.none.fl_str_mv Bottari, Agustín
author Bottari, Agustín
author_facet Bottari, Agustín
author_role author
dc.subject.none.fl_str_mv RTO MA
ALGORITMOS
SISTEMA DE OPTIMIZACION
topic RTO MA
ALGORITMOS
SISTEMA DE OPTIMIZACION
dc.description.none.fl_txt_mv Material suplementario disponible en https://doi.org/10.1016/j.jprocont.2024.103180
Fil: Bottari, Agustín. Pontificia Universidad Católica Argentina. Facultad de Química e Ingeniería del Rosario. Argentina
Fil: Bottari, Agustín. Consejo Nacional de Investigaciones Científicas y Tecnológicas. Instituto de Investigaciones en Ingeniería Ambiental, Química y Biotecnología Aplicada. Argentina
Abstract: The present work proposes a real-time optimization modifier adaptation scheme (RTO MA) in which the modifiers are obtained through a quadratic approximation of the plant-model mismatch function. The work also highlights the links between the model used in the trust-region framework, the model used in bias, gradient, and Hessian-based RTO MA schemes, and the model used in function-based RTO MA. In line with this, general conditions are established for the adapted nominal model for use on the basic trust-region algorithm. The proposed modifiers are then incorporated into an iterative algorithm of the real-time modifier adaptation scheme complemented with a trust-region framework. The effectiveness of the approach is demonstrated in simulation for the optimization of a continuous stirred tank reactor.
description Material suplementario disponible en https://doi.org/10.1016/j.jprocont.2024.103180
publishDate 2024
dc.date.none.fl_str_mv 2024
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 https://repositorio.uca.edu.ar/handle/123456789/18248
0959-1524 (impreso)
1873-2771 (online)
https://doi.org/10.1016/j.jprocont.2024.103180
Bottari, A. Real-time optimization modifier adaptation approach using quadratic approximation of the plant-model mismatch function [en línea]. Journal of Process Control. 2024, (136). Disponible en: https://repositorio.uca.edu.ar/handle/123456789/18248
url https://repositorio.uca.edu.ar/handle/123456789/18248
https://doi.org/10.1016/j.jprocont.2024.103180
identifier_str_mv 0959-1524 (impreso)
1873-2771 (online)
Bottari, A. Real-time optimization modifier adaptation approach using quadratic approximation of the plant-model mismatch function [en línea]. Journal of Process Control. 2024, (136). Disponible en: https://repositorio.uca.edu.ar/handle/123456789/18248
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/4.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/4.0/
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv Facultad de Química e Ingeniería del Rosario
reponame:Repositorio Institucional (UCA)
instname:Pontificia Universidad Católica Argentina
reponame_str Repositorio Institucional (UCA)
collection Repositorio Institucional (UCA)
instname_str Pontificia Universidad Católica Argentina
repository.name.fl_str_mv Repositorio Institucional (UCA) - Pontificia Universidad Católica Argentina
repository.mail.fl_str_mv claudia_fernandez@uca.edu.ar
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score 13.070432

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