Smooth extremum-seeking control for fed-batch processes

Many biotechnological processes have optimal substrate concentrations where a maximum growth rate is achieved. In this work an extremum seeking controller and a gradient estimator are proposed to maximize the growth rate in fed-batch bioprocesses even when the substrate to growth rate map is unknown...

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Detalles Bibliográficos
Autores: Jamilis Ricaldoni, Martín Ignacio, Garelli, Fabricio, de Battista, Hernán
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2016
País:Argentina
Institución:Consejo Nacional de Investigaciones Científicas y Técnicas
Repositorio:CONICET Digital (CONICET)
Idioma:inglés
OAI Identifier:oai:ri.conicet.gov.ar:11336/62694
Acceso en línea:http://hdl.handle.net/11336/62694
Access Level:acceso abierto
Palabra clave:Extremum Seeking
Gradient Estimation
High Order Sliding Mode
https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
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repository_id_str
spelling Smooth extremum-seeking control for fed-batch processesJamilis Ricaldoni, Martín IgnacioGarelli, Fabriciode Battista, HernánExtremum SeekingGradient EstimationHigh Order Sliding Modehttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2https://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2Many biotechnological processes have optimal substrate concentrations where a maximum growth rate is achieved. In this work an extremum seeking controller and a gradient estimator are proposed to maximize the growth rate in fed-batch bioprocesses even when the substrate to growth rate map is unknown. Both the controller and estimator are obtained with high order sliding mode algorithms. Stability proofs are given, and tools to tune the algorithms in terms of bounds of the hessian of the map are derived. Simulation results that illustrate the performance of the controller are shown.Fil: Jamilis Ricaldoni, Martín Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales. Universidad Nacional de La Plata. Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales; ArgentinaFil: Garelli, Fabricio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales. Universidad Nacional de La Plata. Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales; ArgentinaFil: de Battista, Hernán. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales. Universidad Nacional de La Plata. Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales; ArgentinaElsevier Science2016-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/62694Jamilis Ricaldoni, Martín Ignacio; Garelli, Fabricio; de Battista, Hernán; Smooth extremum-seeking control for fed-batch processes; Elsevier Science; IFAC-PapersOnLine; 49; 7; 9-2016; 103-1082405-8963CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://linkinghub.elsevier.com/retrieve/pii/S2405896316304311info:eu-repo/semantics/altIdentifier/doi/10.1016/j.ifacol.2016.07.224info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2024-05-08T13:48:16Zoai:ri.conicet.gov.ar:11336/62694instacron: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:34982024-05-08 13:48:16.772CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Smooth extremum-seeking control for fed-batch processes
title Smooth extremum-seeking control for fed-batch processes
spellingShingle Smooth extremum-seeking control for fed-batch processes
Jamilis Ricaldoni, Martín Ignacio
Extremum Seeking
Gradient Estimation
High Order Sliding Mode
https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
title_short Smooth extremum-seeking control for fed-batch processes
title_full Smooth extremum-seeking control for fed-batch processes
title_fullStr Smooth extremum-seeking control for fed-batch processes
title_full_unstemmed Smooth extremum-seeking control for fed-batch processes
title_sort Smooth extremum-seeking control for fed-batch processes
dc.creator.none.fl_str_mv Jamilis Ricaldoni, Martín Ignacio
Garelli, Fabricio
de Battista, Hernán
author Jamilis Ricaldoni, Martín Ignacio
author_facet Jamilis Ricaldoni, Martín Ignacio
Garelli, Fabricio
de Battista, Hernán
author_role author
author2 Garelli, Fabricio
de Battista, Hernán
author2_role author
author
dc.subject.none.fl_str_mv Extremum Seeking
Gradient Estimation
High Order Sliding Mode
https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
topic Extremum Seeking
Gradient Estimation
High Order Sliding Mode
https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
description Many biotechnological processes have optimal substrate concentrations where a maximum growth rate is achieved. In this work an extremum seeking controller and a gradient estimator are proposed to maximize the growth rate in fed-batch bioprocesses even when the substrate to growth rate map is unknown. Both the controller and estimator are obtained with high order sliding mode algorithms. Stability proofs are given, and tools to tune the algorithms in terms of bounds of the hessian of the map are derived. Simulation results that illustrate the performance of the controller are shown.
publishDate 2016
dc.date.none.fl_str_mv 2016-09
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/11336/62694
Jamilis Ricaldoni, Martín Ignacio; Garelli, Fabricio; de Battista, Hernán; Smooth extremum-seeking control for fed-batch processes; Elsevier Science; IFAC-PapersOnLine; 49; 7; 9-2016; 103-108
2405-8963
CONICET Digital
CONICET
url http://hdl.handle.net/11336/62694
identifier_str_mv Jamilis Ricaldoni, Martín Ignacio; Garelli, Fabricio; de Battista, Hernán; Smooth extremum-seeking control for fed-batch processes; Elsevier Science; IFAC-PapersOnLine; 49; 7; 9-2016; 103-108
2405-8963
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://linkinghub.elsevier.com/retrieve/pii/S2405896316304311
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.ifacol.2016.07.224
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
dc.publisher.none.fl_str_mv Elsevier Science
publisher.none.fl_str_mv Elsevier Science
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
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 15,812429

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