Optimal measurement locations for parameter estimation of non linear distributed parameter systems

Detalhes bibliográficos
Autor(a) principal: Alaña,J. E.
Data de Publicação: 2010
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Brazilian Journal of Chemical Engineering
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66322010000400015
Resumo: A sensor placement approach for the purpose of accurately estimating unknown parameters of a distributed parameter system is discussed. The idea is to convert the sensor location problem to a classical experimental design. The technique consists of analysing the extrema values of the sensitivity coefficients derived from the system and their corresponding spatial positions. This information is used to formulate an efficient computational optimum experiment design on discrete domains. The scheme studied is verified by a numerical example regarding the chemical reaction in a tubular reactor for two possible scenarios; stable and unstable operation conditions. The resulting approach is easy to implement and good estimates for the parameters of the system are obtained. This study shows that the measurement location plays an essential role in the parameter estimation procedure.
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spelling Optimal measurement locations for parameter estimation of non linear distributed parameter systemsSensor placementDistributed parameter systemParameter estimationSensitivity coefficientsA sensor placement approach for the purpose of accurately estimating unknown parameters of a distributed parameter system is discussed. The idea is to convert the sensor location problem to a classical experimental design. The technique consists of analysing the extrema values of the sensitivity coefficients derived from the system and their corresponding spatial positions. This information is used to formulate an efficient computational optimum experiment design on discrete domains. The scheme studied is verified by a numerical example regarding the chemical reaction in a tubular reactor for two possible scenarios; stable and unstable operation conditions. The resulting approach is easy to implement and good estimates for the parameters of the system are obtained. This study shows that the measurement location plays an essential role in the parameter estimation procedure.Brazilian Society of Chemical Engineering2010-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66322010000400015Brazilian Journal of Chemical Engineering v.27 n.4 2010reponame:Brazilian Journal of Chemical Engineeringinstname:Associação Brasileira de Engenharia Química (ABEQ)instacron:ABEQ10.1590/S0104-66322010000400015info:eu-repo/semantics/openAccessAlaña,J. E.eng2011-01-04T00:00:00Zoai:scielo:S0104-66322010000400015Revistahttps://www.scielo.br/j/bjce/https://old.scielo.br/oai/scielo-oai.phprgiudici@usp.br||rgiudici@usp.br1678-43830104-6632opendoar:2011-01-04T00:00Brazilian Journal of Chemical Engineering - Associação Brasileira de Engenharia Química (ABEQ)false
dc.title.none.fl_str_mv Optimal measurement locations for parameter estimation of non linear distributed parameter systems
title Optimal measurement locations for parameter estimation of non linear distributed parameter systems
spellingShingle Optimal measurement locations for parameter estimation of non linear distributed parameter systems
Alaña,J. E.
Sensor placement
Distributed parameter system
Parameter estimation
Sensitivity coefficients
title_short Optimal measurement locations for parameter estimation of non linear distributed parameter systems
title_full Optimal measurement locations for parameter estimation of non linear distributed parameter systems
title_fullStr Optimal measurement locations for parameter estimation of non linear distributed parameter systems
title_full_unstemmed Optimal measurement locations for parameter estimation of non linear distributed parameter systems
title_sort Optimal measurement locations for parameter estimation of non linear distributed parameter systems
author Alaña,J. E.
author_facet Alaña,J. E.
author_role author
dc.contributor.author.fl_str_mv Alaña,J. E.
dc.subject.por.fl_str_mv Sensor placement
Distributed parameter system
Parameter estimation
Sensitivity coefficients
topic Sensor placement
Distributed parameter system
Parameter estimation
Sensitivity coefficients
description A sensor placement approach for the purpose of accurately estimating unknown parameters of a distributed parameter system is discussed. The idea is to convert the sensor location problem to a classical experimental design. The technique consists of analysing the extrema values of the sensitivity coefficients derived from the system and their corresponding spatial positions. This information is used to formulate an efficient computational optimum experiment design on discrete domains. The scheme studied is verified by a numerical example regarding the chemical reaction in a tubular reactor for two possible scenarios; stable and unstable operation conditions. The resulting approach is easy to implement and good estimates for the parameters of the system are obtained. This study shows that the measurement location plays an essential role in the parameter estimation procedure.
publishDate 2010
dc.date.none.fl_str_mv 2010-12-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66322010000400015
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66322010000400015
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0104-66322010000400015
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Brazilian Society of Chemical Engineering
publisher.none.fl_str_mv Brazilian Society of Chemical Engineering
dc.source.none.fl_str_mv Brazilian Journal of Chemical Engineering v.27 n.4 2010
reponame:Brazilian Journal of Chemical Engineering
instname:Associação Brasileira de Engenharia Química (ABEQ)
instacron:ABEQ
instname_str Associação Brasileira de Engenharia Química (ABEQ)
instacron_str ABEQ
institution ABEQ
reponame_str Brazilian Journal of Chemical Engineering
collection Brazilian Journal of Chemical Engineering
repository.name.fl_str_mv Brazilian Journal of Chemical Engineering - Associação Brasileira de Engenharia Química (ABEQ)
repository.mail.fl_str_mv rgiudici@usp.br||rgiudici@usp.br
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