State estimation in batch processes using a nonlinear observer

Autores
Biagiola, Silvina Ines; Solsona, Jorge Alberto
Año de publicación
2006
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
This paper deals with the problem of nonlinear states estimation in batch chemical processes. It presents a reduced-order nonlinear observer approach to perform the estimation. The proposed method allows adjustment of the speed of convergence towards zero of the estimation error. The stability properties of the model-based observer are analytically treated in order to show the conditions under which exponential convergence can be achieved. In addition, the performance of the proposed observer is evaluated on batch processes.
Fil: Biagiola, Silvina Ines. 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; Argentina
Fil: Solsona, Jorge Alberto. 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; Argentina
Materia
NONLINEAR DYNAMICS
NONLINEAR SYSTEMS
CHEMICAL PROCESSES
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:11336/106312
Acceder
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network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling State estimation in batch processes using a nonlinear observerBiagiola, Silvina InesSolsona, Jorge AlbertoNONLINEAR DYNAMICSNONLINEAR SYSTEMSCHEMICAL PROCESSEShttps://purl.org/becyt/ford/2.11https://purl.org/becyt/ford/2This paper deals with the problem of nonlinear states estimation in batch chemical processes. It presents a reduced-order nonlinear observer approach to perform the estimation. The proposed method allows adjustment of the speed of convergence towards zero of the estimation error. The stability properties of the model-based observer are analytically treated in order to show the conditions under which exponential convergence can be achieved. In addition, the performance of the proposed observer is evaluated on batch processes.Fil: Biagiola, Silvina Ines. 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; ArgentinaFil: Solsona, Jorge Alberto. 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; ArgentinaPergamon-Elsevier Science Ltd2006-12info: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/11336/106312Biagiola, Silvina Ines; Solsona, Jorge Alberto; State estimation in batch processes using a nonlinear observer; Pergamon-Elsevier Science Ltd; Mathematical And Computer Modelling; 44; 11-12; 12-2006; 1009-10240895-7177CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0895717706001117info:eu-repo/semantics/altIdentifier/doi/10.1016/j.mcm.2006.03.005info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T10:01:44Zoai:ri.conicet.gov.ar:11336/106312instacron: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:34982025-09-03 10:01:44.676CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv State estimation in batch processes using a nonlinear observer
title State estimation in batch processes using a nonlinear observer
spellingShingle State estimation in batch processes using a nonlinear observer
Biagiola, Silvina Ines
NONLINEAR DYNAMICS
NONLINEAR SYSTEMS
CHEMICAL PROCESSES
title_short State estimation in batch processes using a nonlinear observer
title_full State estimation in batch processes using a nonlinear observer
title_fullStr State estimation in batch processes using a nonlinear observer
title_full_unstemmed State estimation in batch processes using a nonlinear observer
title_sort State estimation in batch processes using a nonlinear observer
dc.creator.none.fl_str_mv Biagiola, Silvina Ines
Solsona, Jorge Alberto
author Biagiola, Silvina Ines
author_facet Biagiola, Silvina Ines
Solsona, Jorge Alberto
author_role author
author2 Solsona, Jorge Alberto
author2_role author
dc.subject.none.fl_str_mv NONLINEAR DYNAMICS
NONLINEAR SYSTEMS
CHEMICAL PROCESSES
topic NONLINEAR DYNAMICS
NONLINEAR SYSTEMS
CHEMICAL PROCESSES
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.11
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv This paper deals with the problem of nonlinear states estimation in batch chemical processes. It presents a reduced-order nonlinear observer approach to perform the estimation. The proposed method allows adjustment of the speed of convergence towards zero of the estimation error. The stability properties of the model-based observer are analytically treated in order to show the conditions under which exponential convergence can be achieved. In addition, the performance of the proposed observer is evaluated on batch processes.
Fil: Biagiola, Silvina Ines. 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; Argentina
Fil: Solsona, Jorge Alberto. 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; Argentina
description This paper deals with the problem of nonlinear states estimation in batch chemical processes. It presents a reduced-order nonlinear observer approach to perform the estimation. The proposed method allows adjustment of the speed of convergence towards zero of the estimation error. The stability properties of the model-based observer are analytically treated in order to show the conditions under which exponential convergence can be achieved. In addition, the performance of the proposed observer is evaluated on batch processes.
publishDate 2006
dc.date.none.fl_str_mv 2006-12
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/11336/106312
Biagiola, Silvina Ines; Solsona, Jorge Alberto; State estimation in batch processes using a nonlinear observer; Pergamon-Elsevier Science Ltd; Mathematical And Computer Modelling; 44; 11-12; 12-2006; 1009-1024
0895-7177
CONICET Digital
CONICET
url http://hdl.handle.net/11336/106312
identifier_str_mv Biagiola, Silvina Ines; Solsona, Jorge Alberto; State estimation in batch processes using a nonlinear observer; Pergamon-Elsevier Science Ltd; Mathematical And Computer Modelling; 44; 11-12; 12-2006; 1009-1024
0895-7177
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://www.sciencedirect.com/science/article/pii/S0895717706001117
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.mcm.2006.03.005
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 Pergamon-Elsevier Science Ltd
publisher.none.fl_str_mv Pergamon-Elsevier Science 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
_version_ 1842269714739363840
score 13.13397

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