Unscented transformation-based filters: Performance comparison analysis for the state estimation in polymerization processes with delayed measurements

Autores
Galdeano, Rubén; Asteasuain, Mariano; Sanchez, Mabel Cristina
Año de publicación
2011
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
State estimation with delayed measurements is essential to the operation of polymer processes due to the limited availability of reliable online sensors and the unavoidable hold-up time in the acquisition of critical variables data. In this work, a two-timescale approach is applied to three filters based on the Unscented Transformation, the Unscented Kalman Filter, the Unscented Recursive Nonlinear Dynamic Data Reconciliation and the Reformulated Constrained Unscented Kalman Filter, in order to incorporate delayed measurements into their estimation scheme. A comprehensive comparative analysis is performed, which shows that the three of them have very good accuracy and convergence properties. However, the Unscented Kalman Filter performs better in terms of computational time. The handling of delayed measurements is incorporated into three filters of the UT family by means of a two-timescale approach. A comprehensive analysis of the filters' performances in polymer processes is carried out, showing that these filters behave better than classical techniques such as the Extended Kalman Filter. One of them, the Unscented Kalman Filter, stands out from the other two by requiring less computational time.
Fil: Galdeano, Rubén. 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: Asteasuain, Mariano. 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: Sanchez, Mabel Cristina. 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
Materia
Delayed Measurements
Polymerization
Simulations
State Estimation
Unscented Kalman Filter
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:11336/76999
Acceder
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repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Unscented transformation-based filters: Performance comparison analysis for the state estimation in polymerization processes with delayed measurementsGaldeano, RubénAsteasuain, MarianoSanchez, Mabel CristinaDelayed MeasurementsPolymerizationSimulationsState EstimationUnscented Kalman Filterhttps://purl.org/becyt/ford/2.4https://purl.org/becyt/ford/2State estimation with delayed measurements is essential to the operation of polymer processes due to the limited availability of reliable online sensors and the unavoidable hold-up time in the acquisition of critical variables data. In this work, a two-timescale approach is applied to three filters based on the Unscented Transformation, the Unscented Kalman Filter, the Unscented Recursive Nonlinear Dynamic Data Reconciliation and the Reformulated Constrained Unscented Kalman Filter, in order to incorporate delayed measurements into their estimation scheme. A comprehensive comparative analysis is performed, which shows that the three of them have very good accuracy and convergence properties. However, the Unscented Kalman Filter performs better in terms of computational time. The handling of delayed measurements is incorporated into three filters of the UT family by means of a two-timescale approach. A comprehensive analysis of the filters' performances in polymer processes is carried out, showing that these filters behave better than classical techniques such as the Extended Kalman Filter. One of them, the Unscented Kalman Filter, stands out from the other two by requiring less computational time.Fil: Galdeano, Rubén. 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: Asteasuain, Mariano. 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: Sanchez, Mabel Cristina. 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; ArgentinaWiley VCH Verlag2011-08-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/76999Galdeano, Rubén; Asteasuain, Mariano; Sanchez, Mabel Cristina; Unscented transformation-based filters: Performance comparison analysis for the state estimation in polymerization processes with delayed measurements; Wiley VCH Verlag; Macromolecular Reaction Engineering; 5; 7-8; 11-8-2011; 278-2931862-832XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/abs/10.1002/mren.201000060info:eu-repo/semantics/altIdentifier/doi/10.1002/mren.201000060info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:30:27Zoai:ri.conicet.gov.ar:11336/76999instacron: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 10:30:28.122CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Unscented transformation-based filters: Performance comparison analysis for the state estimation in polymerization processes with delayed measurements
title Unscented transformation-based filters: Performance comparison analysis for the state estimation in polymerization processes with delayed measurements
spellingShingle Unscented transformation-based filters: Performance comparison analysis for the state estimation in polymerization processes with delayed measurements
Galdeano, Rubén
Delayed Measurements
Polymerization
Simulations
State Estimation
Unscented Kalman Filter
title_short Unscented transformation-based filters: Performance comparison analysis for the state estimation in polymerization processes with delayed measurements
title_full Unscented transformation-based filters: Performance comparison analysis for the state estimation in polymerization processes with delayed measurements
title_fullStr Unscented transformation-based filters: Performance comparison analysis for the state estimation in polymerization processes with delayed measurements
title_full_unstemmed Unscented transformation-based filters: Performance comparison analysis for the state estimation in polymerization processes with delayed measurements
title_sort Unscented transformation-based filters: Performance comparison analysis for the state estimation in polymerization processes with delayed measurements
dc.creator.none.fl_str_mv Galdeano, Rubén
Asteasuain, Mariano
Sanchez, Mabel Cristina
author Galdeano, Rubén
author_facet Galdeano, Rubén
Asteasuain, Mariano
Sanchez, Mabel Cristina
author_role author
author2 Asteasuain, Mariano
Sanchez, Mabel Cristina
author2_role author
author
dc.subject.none.fl_str_mv Delayed Measurements
Polymerization
Simulations
State Estimation
Unscented Kalman Filter
topic Delayed Measurements
Polymerization
Simulations
State Estimation
Unscented Kalman Filter
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.4
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv State estimation with delayed measurements is essential to the operation of polymer processes due to the limited availability of reliable online sensors and the unavoidable hold-up time in the acquisition of critical variables data. In this work, a two-timescale approach is applied to three filters based on the Unscented Transformation, the Unscented Kalman Filter, the Unscented Recursive Nonlinear Dynamic Data Reconciliation and the Reformulated Constrained Unscented Kalman Filter, in order to incorporate delayed measurements into their estimation scheme. A comprehensive comparative analysis is performed, which shows that the three of them have very good accuracy and convergence properties. However, the Unscented Kalman Filter performs better in terms of computational time. The handling of delayed measurements is incorporated into three filters of the UT family by means of a two-timescale approach. A comprehensive analysis of the filters' performances in polymer processes is carried out, showing that these filters behave better than classical techniques such as the Extended Kalman Filter. One of them, the Unscented Kalman Filter, stands out from the other two by requiring less computational time.
Fil: Galdeano, Rubén. 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: Asteasuain, Mariano. 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: Sanchez, Mabel Cristina. 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
description State estimation with delayed measurements is essential to the operation of polymer processes due to the limited availability of reliable online sensors and the unavoidable hold-up time in the acquisition of critical variables data. In this work, a two-timescale approach is applied to three filters based on the Unscented Transformation, the Unscented Kalman Filter, the Unscented Recursive Nonlinear Dynamic Data Reconciliation and the Reformulated Constrained Unscented Kalman Filter, in order to incorporate delayed measurements into their estimation scheme. A comprehensive comparative analysis is performed, which shows that the three of them have very good accuracy and convergence properties. However, the Unscented Kalman Filter performs better in terms of computational time. The handling of delayed measurements is incorporated into three filters of the UT family by means of a two-timescale approach. A comprehensive analysis of the filters' performances in polymer processes is carried out, showing that these filters behave better than classical techniques such as the Extended Kalman Filter. One of them, the Unscented Kalman Filter, stands out from the other two by requiring less computational time.
publishDate 2011
dc.date.none.fl_str_mv 2011-08-11
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/11336/76999
Galdeano, Rubén; Asteasuain, Mariano; Sanchez, Mabel Cristina; Unscented transformation-based filters: Performance comparison analysis for the state estimation in polymerization processes with delayed measurements; Wiley VCH Verlag; Macromolecular Reaction Engineering; 5; 7-8; 11-8-2011; 278-293
1862-832X
CONICET Digital
CONICET
url http://hdl.handle.net/11336/76999
identifier_str_mv Galdeano, Rubén; Asteasuain, Mariano; Sanchez, Mabel Cristina; Unscented transformation-based filters: Performance comparison analysis for the state estimation in polymerization processes with delayed measurements; Wiley VCH Verlag; Macromolecular Reaction Engineering; 5; 7-8; 11-8-2011; 278-293
1862-832X
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/mren.201000060
info:eu-repo/semantics/altIdentifier/doi/10.1002/mren.201000060
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
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Wiley VCH Verlag
publisher.none.fl_str_mv Wiley VCH Verlag
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_ 1844614312862154752
score 13.069144

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