Robust identification/invalidation in an LPV framework

Autores
Bianchi, Fernando Daniel; Sanchez Peña, Ricardo Salvador
Año de publicación
2010
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
A robust linear parameter varying (LPV) identification/invalidation method is presented. Starting from a given initial model, the proposed method modifies it and produces an LPV model consistent with the assumed uncertainty/noise bounds and the experimental information. This procedure may complement existing nominal LPV identification algorithms, by adding the uncertainty and noise bounds which produces a set of models consistent with the experimental evidence. Unlike standard invalidation results, the proposed method allows the computation of the necessary changes to the initial model in order to place it within the consistency set. Similar to previous LPV identification procedures, the initial parameter dependency is fixed in advance, but here a methodology to modify this dependency is presented. In addition, all calculations are made on state-space matrices which simplifies further controller design computations. The application of the proposed method to the identification of nonlinear systems is also discussed.
Fil: Bianchi, Fernando Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Politécnica de Catalunya; España
Fil: Sanchez Peña, Ricardo Salvador. Universidad Politécnica de Catalunya; España. Institució Catalana de Recerca i Estudis Avancats; España. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Materia
CONTROL-ORIENTED IDENTIFICATION
LINEAR PARAMETER VARYING
MODEL INVALIDATION
ROBUST CONTROL
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:11336/98833
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/98833
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Robust identification/invalidation in an LPV frameworkBianchi, Fernando DanielSanchez Peña, Ricardo SalvadorCONTROL-ORIENTED IDENTIFICATIONLINEAR PARAMETER VARYINGMODEL INVALIDATIONROBUST CONTROLhttps://purl.org/becyt/ford/1.1https://purl.org/becyt/ford/1A robust linear parameter varying (LPV) identification/invalidation method is presented. Starting from a given initial model, the proposed method modifies it and produces an LPV model consistent with the assumed uncertainty/noise bounds and the experimental information. This procedure may complement existing nominal LPV identification algorithms, by adding the uncertainty and noise bounds which produces a set of models consistent with the experimental evidence. Unlike standard invalidation results, the proposed method allows the computation of the necessary changes to the initial model in order to place it within the consistency set. Similar to previous LPV identification procedures, the initial parameter dependency is fixed in advance, but here a methodology to modify this dependency is presented. In addition, all calculations are made on state-space matrices which simplifies further controller design computations. The application of the proposed method to the identification of nonlinear systems is also discussed.Fil: Bianchi, Fernando Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Politécnica de Catalunya; EspañaFil: Sanchez Peña, Ricardo Salvador. Universidad Politécnica de Catalunya; España. Institució Catalana de Recerca i Estudis Avancats; España. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaJohn Wiley & Sons Ltd2010-02info: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/11336/98833Bianchi, Fernando Daniel; Sanchez Peña, Ricardo Salvador; Robust identification/invalidation in an LPV framework; John Wiley & Sons Ltd; International Journal of Robust and Nonlinear Control; 20; 3; 2-2010; 301-3121049-8923CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1002/rnc.1430info:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/abs/10.1002/rnc.1430info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T10:06:57Zoai:ri.conicet.gov.ar:11336/98833instacron: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 10:06:58.065CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Robust identification/invalidation in an LPV framework
title Robust identification/invalidation in an LPV framework
spellingShingle Robust identification/invalidation in an LPV framework
Bianchi, Fernando Daniel
CONTROL-ORIENTED IDENTIFICATION
LINEAR PARAMETER VARYING
MODEL INVALIDATION
ROBUST CONTROL
title_short Robust identification/invalidation in an LPV framework
title_full Robust identification/invalidation in an LPV framework
title_fullStr Robust identification/invalidation in an LPV framework
title_full_unstemmed Robust identification/invalidation in an LPV framework
title_sort Robust identification/invalidation in an LPV framework
dc.creator.none.fl_str_mv Bianchi, Fernando Daniel
Sanchez Peña, Ricardo Salvador
author Bianchi, Fernando Daniel
author_facet Bianchi, Fernando Daniel
Sanchez Peña, Ricardo Salvador
author_role author
author2 Sanchez Peña, Ricardo Salvador
author2_role author
dc.subject.none.fl_str_mv CONTROL-ORIENTED IDENTIFICATION
LINEAR PARAMETER VARYING
MODEL INVALIDATION
ROBUST CONTROL
topic CONTROL-ORIENTED IDENTIFICATION
LINEAR PARAMETER VARYING
MODEL INVALIDATION
ROBUST CONTROL
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.1
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv A robust linear parameter varying (LPV) identification/invalidation method is presented. Starting from a given initial model, the proposed method modifies it and produces an LPV model consistent with the assumed uncertainty/noise bounds and the experimental information. This procedure may complement existing nominal LPV identification algorithms, by adding the uncertainty and noise bounds which produces a set of models consistent with the experimental evidence. Unlike standard invalidation results, the proposed method allows the computation of the necessary changes to the initial model in order to place it within the consistency set. Similar to previous LPV identification procedures, the initial parameter dependency is fixed in advance, but here a methodology to modify this dependency is presented. In addition, all calculations are made on state-space matrices which simplifies further controller design computations. The application of the proposed method to the identification of nonlinear systems is also discussed.
Fil: Bianchi, Fernando Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Politécnica de Catalunya; España
Fil: Sanchez Peña, Ricardo Salvador. Universidad Politécnica de Catalunya; España. Institució Catalana de Recerca i Estudis Avancats; España. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
description A robust linear parameter varying (LPV) identification/invalidation method is presented. Starting from a given initial model, the proposed method modifies it and produces an LPV model consistent with the assumed uncertainty/noise bounds and the experimental information. This procedure may complement existing nominal LPV identification algorithms, by adding the uncertainty and noise bounds which produces a set of models consistent with the experimental evidence. Unlike standard invalidation results, the proposed method allows the computation of the necessary changes to the initial model in order to place it within the consistency set. Similar to previous LPV identification procedures, the initial parameter dependency is fixed in advance, but here a methodology to modify this dependency is presented. In addition, all calculations are made on state-space matrices which simplifies further controller design computations. The application of the proposed method to the identification of nonlinear systems is also discussed.
publishDate 2010
dc.date.none.fl_str_mv 2010-02
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/11336/98833
Bianchi, Fernando Daniel; Sanchez Peña, Ricardo Salvador; Robust identification/invalidation in an LPV framework; John Wiley & Sons Ltd; International Journal of Robust and Nonlinear Control; 20; 3; 2-2010; 301-312
1049-8923
CONICET Digital
CONICET
url http://hdl.handle.net/11336/98833
identifier_str_mv Bianchi, Fernando Daniel; Sanchez Peña, Ricardo Salvador; Robust identification/invalidation in an LPV framework; John Wiley & Sons Ltd; International Journal of Robust and Nonlinear Control; 20; 3; 2-2010; 301-312
1049-8923
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1002/rnc.1430
info:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/abs/10.1002/rnc.1430
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 John Wiley & Sons Ltd
publisher.none.fl_str_mv John Wiley & Sons 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_ 1842269983264997376
score 13.13397

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