Open-Loop Dynamic Optimization for Nonlinear Multi-Input Systems: Application to Recombinant Protein Production

Autores
Pantano, Maria Nadia; Fernández Puchol, María Cecilia; Rossomando, Francisco Guido; Scaglia, Gustavo Juan Eduardo
Año de publicación
2021
Idioma
español castellano
Tipo de recurso
artículo
Estado
versión publicada
Descripción
This paper proposes a novel strategy for dynamic open-loop optimization of multivariable nonlinear systems.The methodology is based on the Fourier seriesand orthonormal polynomialsfor the control vector parameterization in a sequential direct solution approach. The advantages of this technique are that a few number of parameters is required for optimization and a smooth control profile is obtained. The proposed strategy is evaluated in the case study of recombinant protein production, that is a nonlinear system with two control actions, the substrate and inhibitor feed flow rate. The algorithms are tested through simulations and the results are compared with those published in the bibliography.
Fil: Pantano, Maria Nadia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan; Argentina. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Ingeniería Química; Argentina
Fil: Fernández Puchol, María Cecilia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan; Argentina. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Ingeniería Química; Argentina
Fil: Rossomando, Francisco Guido. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Automática. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Automática; Argentina
Fil: Scaglia, Gustavo Juan Eduardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan; Argentina. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Ingeniería Química; Argentina
Materia
BIOREACTORS
NONLINEAR SYSTEMS
FOURIER SERIES
TRAJECTORY OPTIMIZATION
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/156400
Acceder
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network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Open-Loop Dynamic Optimization for Nonlinear Multi-Input Systems: Application to Recombinant Protein ProductionPantano, Maria NadiaFernández Puchol, María CeciliaRossomando, Francisco GuidoScaglia, Gustavo Juan EduardoBIOREACTORSNONLINEAR SYSTEMSFOURIER SERIESTRAJECTORY OPTIMIZATIONhttps://purl.org/becyt/ford/2.4https://purl.org/becyt/ford/2This paper proposes a novel strategy for dynamic open-loop optimization of multivariable nonlinear systems.The methodology is based on the Fourier seriesand orthonormal polynomialsfor the control vector parameterization in a sequential direct solution approach. The advantages of this technique are that a few number of parameters is required for optimization and a smooth control profile is obtained. The proposed strategy is evaluated in the case study of recombinant protein production, that is a nonlinear system with two control actions, the substrate and inhibitor feed flow rate. The algorithms are tested through simulations and the results are compared with those published in the bibliography.Fil: Pantano, Maria Nadia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan; Argentina. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Ingeniería Química; ArgentinaFil: Fernández Puchol, María Cecilia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan; Argentina. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Ingeniería Química; ArgentinaFil: Rossomando, Francisco Guido. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Automática. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Automática; ArgentinaFil: Scaglia, Gustavo Juan Eduardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan; Argentina. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Ingeniería Química; ArgentinaInstitute of Electrical and Electronics Engineers2021-08info: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/11336/156400Pantano, Maria Nadia; Fernández Puchol, María Cecilia; Rossomando, Francisco Guido; Scaglia, Gustavo Juan Eduardo; Open-Loop Dynamic Optimization for Nonlinear Multi-Input Systems: Application to Recombinant Protein Production; Institute of Electrical and Electronics Engineers; IEEE Latin America Transactions; 19; 8; 8-2021; 1307–13141548-0992CONICET DigitalCONICETspainfo:eu-repo/semantics/altIdentifier/url/https://latamt.ieeer9.org/index.php/transactions/article/view/4474info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T14:50:27Zoai:ri.conicet.gov.ar:11336/156400instacron: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 14:50:27.967CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Open-Loop Dynamic Optimization for Nonlinear Multi-Input Systems: Application to Recombinant Protein Production
title Open-Loop Dynamic Optimization for Nonlinear Multi-Input Systems: Application to Recombinant Protein Production
spellingShingle Open-Loop Dynamic Optimization for Nonlinear Multi-Input Systems: Application to Recombinant Protein Production
Pantano, Maria Nadia
BIOREACTORS
NONLINEAR SYSTEMS
FOURIER SERIES
TRAJECTORY OPTIMIZATION
title_short Open-Loop Dynamic Optimization for Nonlinear Multi-Input Systems: Application to Recombinant Protein Production
title_full Open-Loop Dynamic Optimization for Nonlinear Multi-Input Systems: Application to Recombinant Protein Production
title_fullStr Open-Loop Dynamic Optimization for Nonlinear Multi-Input Systems: Application to Recombinant Protein Production
title_full_unstemmed Open-Loop Dynamic Optimization for Nonlinear Multi-Input Systems: Application to Recombinant Protein Production
title_sort Open-Loop Dynamic Optimization for Nonlinear Multi-Input Systems: Application to Recombinant Protein Production
dc.creator.none.fl_str_mv Pantano, Maria Nadia
Fernández Puchol, María Cecilia
Rossomando, Francisco Guido
Scaglia, Gustavo Juan Eduardo
author Pantano, Maria Nadia
author_facet Pantano, Maria Nadia
Fernández Puchol, María Cecilia
Rossomando, Francisco Guido
Scaglia, Gustavo Juan Eduardo
author_role author
author2 Fernández Puchol, María Cecilia
Rossomando, Francisco Guido
Scaglia, Gustavo Juan Eduardo
author2_role author
author
author
dc.subject.none.fl_str_mv BIOREACTORS
NONLINEAR SYSTEMS
FOURIER SERIES
TRAJECTORY OPTIMIZATION
topic BIOREACTORS
NONLINEAR SYSTEMS
FOURIER SERIES
TRAJECTORY OPTIMIZATION
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.4
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv This paper proposes a novel strategy for dynamic open-loop optimization of multivariable nonlinear systems.The methodology is based on the Fourier seriesand orthonormal polynomialsfor the control vector parameterization in a sequential direct solution approach. The advantages of this technique are that a few number of parameters is required for optimization and a smooth control profile is obtained. The proposed strategy is evaluated in the case study of recombinant protein production, that is a nonlinear system with two control actions, the substrate and inhibitor feed flow rate. The algorithms are tested through simulations and the results are compared with those published in the bibliography.
Fil: Pantano, Maria Nadia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan; Argentina. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Ingeniería Química; Argentina
Fil: Fernández Puchol, María Cecilia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan; Argentina. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Ingeniería Química; Argentina
Fil: Rossomando, Francisco Guido. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Automática. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Automática; Argentina
Fil: Scaglia, Gustavo Juan Eduardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan; Argentina. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Ingeniería Química; Argentina
description This paper proposes a novel strategy for dynamic open-loop optimization of multivariable nonlinear systems.The methodology is based on the Fourier seriesand orthonormal polynomialsfor the control vector parameterization in a sequential direct solution approach. The advantages of this technique are that a few number of parameters is required for optimization and a smooth control profile is obtained. The proposed strategy is evaluated in the case study of recombinant protein production, that is a nonlinear system with two control actions, the substrate and inhibitor feed flow rate. The algorithms are tested through simulations and the results are compared with those published in the bibliography.
publishDate 2021
dc.date.none.fl_str_mv 2021-08
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/11336/156400
Pantano, Maria Nadia; Fernández Puchol, María Cecilia; Rossomando, Francisco Guido; Scaglia, Gustavo Juan Eduardo; Open-Loop Dynamic Optimization for Nonlinear Multi-Input Systems: Application to Recombinant Protein Production; Institute of Electrical and Electronics Engineers; IEEE Latin America Transactions; 19; 8; 8-2021; 1307–1314
1548-0992
CONICET Digital
CONICET
url http://hdl.handle.net/11336/156400
identifier_str_mv Pantano, Maria Nadia; Fernández Puchol, María Cecilia; Rossomando, Francisco Guido; Scaglia, Gustavo Juan Eduardo; Open-Loop Dynamic Optimization for Nonlinear Multi-Input Systems: Application to Recombinant Protein Production; Institute of Electrical and Electronics Engineers; IEEE Latin America Transactions; 19; 8; 8-2021; 1307–1314
1548-0992
CONICET Digital
CONICET
dc.language.none.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://latamt.ieeer9.org/index.php/transactions/article/view/4474
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers
publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers
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 13.22299

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