Accelerating the parameters identifiability procedure: Set by set selection

Autores
Alberton, Kese P. F.; Alberton, André Luís; Di Maggio, Jimena Andrea; Diaz, Maria Soledad; Secchi, Argimiro R.
Año de publicación
2013
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In this paper, a numerical procedure based on the binary search is proposed for accelerating the parameters identifiability procedure. Basically, the parameters are selected set by set using a given criterion for ranking the parameters. Since parameters identifiability procedures are strongly dependent on the initial estimates of parameters values, simultaneous parameters re-estimation step has been proposed in this paper. Two examples were used to evaluate the performance of the proposed criterion. In both cases, a significant reduction of the computational time was observed, and the results regard to the model fit are similar to those criteria based on the selection of parameters one by one, as usually presented in the literature.
Fil: Alberton, Kese P. F. . Universidade Federal do Rio de Janeiro; Brasil
Fil: Alberton, André Luís . Universidade Estadual do Rio de Janeiro; Brasil
Fil: Di Maggio, Jimena Andrea. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Planta Piloto de Ingeniería Química (i); Argentina. Universidad Nacional del Sur; Argentina
Fil: Diaz, Maria Soledad. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Planta Piloto de Ingeniería Química (i); Argentina. Universidad Nacional del Sur; Argentina
Fil: Secchi, Argimiro R. . Universidade Federal do Rio de Janeiro; Brasil
Materia
Parameters Identifiability
Binary Search
Parameters Estimation
Scarce Experimental Data
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:11336/11928
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Accelerating the parameters identifiability procedure: Set by set selectionAlberton, Kese P. F. Alberton, André Luís Di Maggio, Jimena AndreaDiaz, Maria SoledadSecchi, Argimiro R. Parameters IdentifiabilityBinary SearchParameters EstimationScarce Experimental Datahttps://purl.org/becyt/ford/2.4https://purl.org/becyt/ford/2In this paper, a numerical procedure based on the binary search is proposed for accelerating the parameters identifiability procedure. Basically, the parameters are selected set by set using a given criterion for ranking the parameters. Since parameters identifiability procedures are strongly dependent on the initial estimates of parameters values, simultaneous parameters re-estimation step has been proposed in this paper. Two examples were used to evaluate the performance of the proposed criterion. In both cases, a significant reduction of the computational time was observed, and the results regard to the model fit are similar to those criteria based on the selection of parameters one by one, as usually presented in the literature.Fil: Alberton, Kese P. F. . Universidade Federal do Rio de Janeiro; BrasilFil: Alberton, André Luís . Universidade Estadual do Rio de Janeiro; BrasilFil: Di Maggio, Jimena Andrea. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Planta Piloto de Ingeniería Química (i); Argentina. Universidad Nacional del Sur; ArgentinaFil: Diaz, Maria Soledad. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Planta Piloto de Ingeniería Química (i); Argentina. Universidad Nacional del Sur; ArgentinaFil: Secchi, Argimiro R. . Universidade Federal do Rio de Janeiro; BrasilElsevier2013-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/11928Alberton, Kese P. F. ; Alberton, André Luís ; Di Maggio, Jimena Andrea; Diaz, Maria Soledad; Secchi, Argimiro R. ; Accelerating the parameters identifiability procedure: Set by set selection; Elsevier; Computers And Chemical Engineering; 55; 8-2013; 181-1970098-1354enginfo:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S009813541300121Xinfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.compchemeng.2013.04.014info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:33:31Zoai:ri.conicet.gov.ar:11336/11928instacron: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 10:33:31.523CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Accelerating the parameters identifiability procedure: Set by set selection
title Accelerating the parameters identifiability procedure: Set by set selection
spellingShingle Accelerating the parameters identifiability procedure: Set by set selection
Alberton, Kese P. F.
Parameters Identifiability
Binary Search
Parameters Estimation
Scarce Experimental Data
title_short Accelerating the parameters identifiability procedure: Set by set selection
title_full Accelerating the parameters identifiability procedure: Set by set selection
title_fullStr Accelerating the parameters identifiability procedure: Set by set selection
title_full_unstemmed Accelerating the parameters identifiability procedure: Set by set selection
title_sort Accelerating the parameters identifiability procedure: Set by set selection
dc.creator.none.fl_str_mv Alberton, Kese P. F.
Alberton, André Luís
Di Maggio, Jimena Andrea
Diaz, Maria Soledad
Secchi, Argimiro R.
author Alberton, Kese P. F.
author_facet Alberton, Kese P. F.
Alberton, André Luís
Di Maggio, Jimena Andrea
Diaz, Maria Soledad
Secchi, Argimiro R.
author_role author
author2 Alberton, André Luís
Di Maggio, Jimena Andrea
Diaz, Maria Soledad
Secchi, Argimiro R.
author2_role author
author
author
author
dc.subject.none.fl_str_mv Parameters Identifiability
Binary Search
Parameters Estimation
Scarce Experimental Data
topic Parameters Identifiability
Binary Search
Parameters Estimation
Scarce Experimental Data
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.4
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv In this paper, a numerical procedure based on the binary search is proposed for accelerating the parameters identifiability procedure. Basically, the parameters are selected set by set using a given criterion for ranking the parameters. Since parameters identifiability procedures are strongly dependent on the initial estimates of parameters values, simultaneous parameters re-estimation step has been proposed in this paper. Two examples were used to evaluate the performance of the proposed criterion. In both cases, a significant reduction of the computational time was observed, and the results regard to the model fit are similar to those criteria based on the selection of parameters one by one, as usually presented in the literature.
Fil: Alberton, Kese P. F. . Universidade Federal do Rio de Janeiro; Brasil
Fil: Alberton, André Luís . Universidade Estadual do Rio de Janeiro; Brasil
Fil: Di Maggio, Jimena Andrea. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Planta Piloto de Ingeniería Química (i); Argentina. Universidad Nacional del Sur; Argentina
Fil: Diaz, Maria Soledad. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Planta Piloto de Ingeniería Química (i); Argentina. Universidad Nacional del Sur; Argentina
Fil: Secchi, Argimiro R. . Universidade Federal do Rio de Janeiro; Brasil
description In this paper, a numerical procedure based on the binary search is proposed for accelerating the parameters identifiability procedure. Basically, the parameters are selected set by set using a given criterion for ranking the parameters. Since parameters identifiability procedures are strongly dependent on the initial estimates of parameters values, simultaneous parameters re-estimation step has been proposed in this paper. Two examples were used to evaluate the performance of the proposed criterion. In both cases, a significant reduction of the computational time was observed, and the results regard to the model fit are similar to those criteria based on the selection of parameters one by one, as usually presented in the literature.
publishDate 2013
dc.date.none.fl_str_mv 2013-08
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/11336/11928
Alberton, Kese P. F. ; Alberton, André Luís ; Di Maggio, Jimena Andrea; Diaz, Maria Soledad; Secchi, Argimiro R. ; Accelerating the parameters identifiability procedure: Set by set selection; Elsevier; Computers And Chemical Engineering; 55; 8-2013; 181-197
0098-1354
url http://hdl.handle.net/11336/11928
identifier_str_mv Alberton, Kese P. F. ; Alberton, André Luís ; Di Maggio, Jimena Andrea; Diaz, Maria Soledad; Secchi, Argimiro R. ; Accelerating the parameters identifiability procedure: Set by set selection; Elsevier; Computers And Chemical Engineering; 55; 8-2013; 181-197
0098-1354
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S009813541300121X
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.compchemeng.2013.04.014
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
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
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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