Tuning of observer-based estimators: theory and application to the on-line estimation of kinetic parameters
Autor(a) principal: | |
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Data de Publicação: | 2000 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | https://hdl.handle.net/1822/138 |
Resumo: | This paper deals with the tuning of observer-based estimators. Initially, these algorithms were designed for estimating on-line kinetic parameters, like specific growth rates, in bioprocesses, and have proved to be very successful in practical applications. Here a systematic tuning approach that allows a decoupled estimation of each parameter and the assignment of the estimator dynamics independently of the process dynamics is proposed. The presented approach is illustrated on an animal cell culture example in numerical simulation and with real-life data. |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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7160 |
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Tuning of observer-based estimators: theory and application to the on-line estimation of kinetic parametersParameter estimationState observerBiotechnological processChemical processElectrical systemScience & TechnologyThis paper deals with the tuning of observer-based estimators. Initially, these algorithms were designed for estimating on-line kinetic parameters, like specific growth rates, in bioprocesses, and have proved to be very successful in practical applications. Here a systematic tuning approach that allows a decoupled estimation of each parameter and the assignment of the estimator dynamics independently of the process dynamics is proposed. The presented approach is illustrated on an animal cell culture example in numerical simulation and with real-life data.Elsevier ScienceUniversidade do MinhoPerrier, M.Azevedo, S. Feyo deFerreira, Eugénio C.Dochain, D.20002000-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/1822/138eng“Control Engineering Practice”. 8:4 (2000) 377-388.0967-066110.1016/S0967-0661(99)00164-1info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-21T12:15:38Zoai:repositorium.sdum.uminho.pt:1822/138Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:08:06.828210Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Tuning of observer-based estimators: theory and application to the on-line estimation of kinetic parameters |
title |
Tuning of observer-based estimators: theory and application to the on-line estimation of kinetic parameters |
spellingShingle |
Tuning of observer-based estimators: theory and application to the on-line estimation of kinetic parameters Perrier, M. Parameter estimation State observer Biotechnological process Chemical process Electrical system Science & Technology |
title_short |
Tuning of observer-based estimators: theory and application to the on-line estimation of kinetic parameters |
title_full |
Tuning of observer-based estimators: theory and application to the on-line estimation of kinetic parameters |
title_fullStr |
Tuning of observer-based estimators: theory and application to the on-line estimation of kinetic parameters |
title_full_unstemmed |
Tuning of observer-based estimators: theory and application to the on-line estimation of kinetic parameters |
title_sort |
Tuning of observer-based estimators: theory and application to the on-line estimation of kinetic parameters |
author |
Perrier, M. |
author_facet |
Perrier, M. Azevedo, S. Feyo de Ferreira, Eugénio C. Dochain, D. |
author_role |
author |
author2 |
Azevedo, S. Feyo de Ferreira, Eugénio C. Dochain, D. |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Universidade do Minho |
dc.contributor.author.fl_str_mv |
Perrier, M. Azevedo, S. Feyo de Ferreira, Eugénio C. Dochain, D. |
dc.subject.por.fl_str_mv |
Parameter estimation State observer Biotechnological process Chemical process Electrical system Science & Technology |
topic |
Parameter estimation State observer Biotechnological process Chemical process Electrical system Science & Technology |
description |
This paper deals with the tuning of observer-based estimators. Initially, these algorithms were designed for estimating on-line kinetic parameters, like specific growth rates, in bioprocesses, and have proved to be very successful in practical applications. Here a systematic tuning approach that allows a decoupled estimation of each parameter and the assignment of the estimator dynamics independently of the process dynamics is proposed. The presented approach is illustrated on an animal cell culture example in numerical simulation and with real-life data. |
publishDate |
2000 |
dc.date.none.fl_str_mv |
2000 2000-01-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://hdl.handle.net/1822/138 |
url |
https://hdl.handle.net/1822/138 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
“Control Engineering Practice”. 8:4 (2000) 377-388. 0967-0661 10.1016/S0967-0661(99)00164-1 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Elsevier Science |
publisher.none.fl_str_mv |
Elsevier Science |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
|
_version_ |
1799132502148775936 |