Set-Membership Estimation Theory for Coupled MIMO Wiener-like Models

Autores
Alvarez, Marcela Patricia; Castro, Liliana Raquel; Figueroa, Jose Luis; Agamennoni, Osvaldo Enrique
Año de publicación
2013
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In this paper, an approach for identifying coupled multiple input multiple output (MIMO) Wiener like models in presented. Each multiple input, single output (MISO) model structure contained in the MIMO model is parameterized using finite set of discrete Laguerre transfer functions followed by a High Level Canonical Piecewise Linear (HLCPWL) that represents the static memoryless nonlinear block. For each MISO model, the parameters of the HLCPWL functions are found via Set Membership (SM) estimation theory, under mild error constrains. In this way, each MISO Wiener like model is described as a set of parameters for the nonlinear static subsystem, whose values are obtained by solving linear programming problem. The MIMO Wiener like model structure is then represented as a set of coupled input output MISO models, converting the identification of a coupled MIMO system into the identification of MISO systems. In order to validate the proposed identification algorithm, an illustrative example is provided.
Fil: Alvarez, Marcela Patricia. Universidad Nacional del Sur. Departamento de Matemática; Argentina;
Fil: Castro, Liliana Raquel. Universidad Nacional del Sur. Departamento de Matemática; Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico - CONICET - Bahía Blanca. Instituto de Investigación en Ingeniería Eléctrica; Argentina;
Fil: Figueroa, Jose Luis. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico - CONICET - Bahía Blanca. Instituto de Investigación en Ingeniería Eléctrica; Argentina; Universidad Nacional del Litoral; Argentina;
Fil: Agamennoni, Osvaldo Enrique. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico - CONICET - Bahía Blanca. Instituto de Investigación en Ingeniería Eléctrica; Argentina;
Materia
WIENER LIKE-MODELS
NONLINEAR SYSTEMS IDENTIFICATION
HLCPWL FUNCTIONS
SET-MEMBERSHIPT ESTIMATION THEORY
UBB ERROR
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:11336/1946
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/1946
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Set-Membership Estimation Theory for Coupled MIMO Wiener-like ModelsAlvarez, Marcela PatriciaCastro, Liliana RaquelFigueroa, Jose LuisAgamennoni, Osvaldo EnriqueWIENER LIKE-MODELSNONLINEAR SYSTEMS IDENTIFICATIONHLCPWL FUNCTIONSSET-MEMBERSHIPT ESTIMATION THEORYUBB ERRORhttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2In this paper, an approach for identifying coupled multiple input multiple output (MIMO) Wiener like models in presented. Each multiple input, single output (MISO) model structure contained in the MIMO model is parameterized using finite set of discrete Laguerre transfer functions followed by a High Level Canonical Piecewise Linear (HLCPWL) that represents the static memoryless nonlinear block. For each MISO model, the parameters of the HLCPWL functions are found via Set Membership (SM) estimation theory, under mild error constrains. In this way, each MISO Wiener like model is described as a set of parameters for the nonlinear static subsystem, whose values are obtained by solving linear programming problem. The MIMO Wiener like model structure is then represented as a set of coupled input output MISO models, converting the identification of a coupled MIMO system into the identification of MISO systems. In order to validate the proposed identification algorithm, an illustrative example is provided.Fil: Alvarez, Marcela Patricia. Universidad Nacional del Sur. Departamento de Matemática; Argentina;Fil: Castro, Liliana Raquel. Universidad Nacional del Sur. Departamento de Matemática; Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico - CONICET - Bahía Blanca. Instituto de Investigación en Ingeniería Eléctrica; Argentina;Fil: Figueroa, Jose Luis. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico - CONICET - Bahía Blanca. Instituto de Investigación en Ingeniería Eléctrica; Argentina; Universidad Nacional del Litoral; Argentina;Fil: Agamennoni, Osvaldo Enrique. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico - CONICET - Bahía Blanca. Instituto de Investigación en Ingeniería Eléctrica; Argentina;Universidad Nacional del Sur2013-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/1946Alvarez, Marcela Patricia; Castro, Liliana Raquel; Figueroa, Jose Luis; Agamennoni, Osvaldo Enrique; Set-Membership Estimation Theory for Coupled MIMO Wiener-like Models; Universidad Nacional del Sur; Latin American Applied Research; 43; 3; 12-2013; 269-2740327-07931851-8796enginfo:eu-repo/semantics/altIdentifier/url/http://www.laar.uns.edu.ar/indexes/artic_v4303/Vol43_03_269.pdfinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2026-08-25T14:39:57Zoai:ri.conicet.gov.ar:11336/1946instacron: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:34982026-08-25 14:39:57.641CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Set-Membership Estimation Theory for Coupled MIMO Wiener-like Models
title Set-Membership Estimation Theory for Coupled MIMO Wiener-like Models
spellingShingle Set-Membership Estimation Theory for Coupled MIMO Wiener-like Models
Alvarez, Marcela Patricia
WIENER LIKE-MODELS
NONLINEAR SYSTEMS IDENTIFICATION
HLCPWL FUNCTIONS
SET-MEMBERSHIPT ESTIMATION THEORY
UBB ERROR
title_short Set-Membership Estimation Theory for Coupled MIMO Wiener-like Models
title_full Set-Membership Estimation Theory for Coupled MIMO Wiener-like Models
title_fullStr Set-Membership Estimation Theory for Coupled MIMO Wiener-like Models
title_full_unstemmed Set-Membership Estimation Theory for Coupled MIMO Wiener-like Models
title_sort Set-Membership Estimation Theory for Coupled MIMO Wiener-like Models
dc.creator.none.fl_str_mv Alvarez, Marcela Patricia
Castro, Liliana Raquel
Figueroa, Jose Luis
Agamennoni, Osvaldo Enrique
author Alvarez, Marcela Patricia
author_facet Alvarez, Marcela Patricia
Castro, Liliana Raquel
Figueroa, Jose Luis
Agamennoni, Osvaldo Enrique
author_role author
author2 Castro, Liliana Raquel
Figueroa, Jose Luis
Agamennoni, Osvaldo Enrique
author2_role author
author
author
dc.subject.none.fl_str_mv WIENER LIKE-MODELS
NONLINEAR SYSTEMS IDENTIFICATION
HLCPWL FUNCTIONS
SET-MEMBERSHIPT ESTIMATION THEORY
UBB ERROR
topic WIENER LIKE-MODELS
NONLINEAR SYSTEMS IDENTIFICATION
HLCPWL FUNCTIONS
SET-MEMBERSHIPT ESTIMATION THEORY
UBB ERROR
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv In this paper, an approach for identifying coupled multiple input multiple output (MIMO) Wiener like models in presented. Each multiple input, single output (MISO) model structure contained in the MIMO model is parameterized using finite set of discrete Laguerre transfer functions followed by a High Level Canonical Piecewise Linear (HLCPWL) that represents the static memoryless nonlinear block. For each MISO model, the parameters of the HLCPWL functions are found via Set Membership (SM) estimation theory, under mild error constrains. In this way, each MISO Wiener like model is described as a set of parameters for the nonlinear static subsystem, whose values are obtained by solving linear programming problem. The MIMO Wiener like model structure is then represented as a set of coupled input output MISO models, converting the identification of a coupled MIMO system into the identification of MISO systems. In order to validate the proposed identification algorithm, an illustrative example is provided.
Fil: Alvarez, Marcela Patricia. Universidad Nacional del Sur. Departamento de Matemática; Argentina;
Fil: Castro, Liliana Raquel. Universidad Nacional del Sur. Departamento de Matemática; Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico - CONICET - Bahía Blanca. Instituto de Investigación en Ingeniería Eléctrica; Argentina;
Fil: Figueroa, Jose Luis. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico - CONICET - Bahía Blanca. Instituto de Investigación en Ingeniería Eléctrica; Argentina; Universidad Nacional del Litoral; Argentina;
Fil: Agamennoni, Osvaldo Enrique. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico - CONICET - Bahía Blanca. Instituto de Investigación en Ingeniería Eléctrica; Argentina;
description In this paper, an approach for identifying coupled multiple input multiple output (MIMO) Wiener like models in presented. Each multiple input, single output (MISO) model structure contained in the MIMO model is parameterized using finite set of discrete Laguerre transfer functions followed by a High Level Canonical Piecewise Linear (HLCPWL) that represents the static memoryless nonlinear block. For each MISO model, the parameters of the HLCPWL functions are found via Set Membership (SM) estimation theory, under mild error constrains. In this way, each MISO Wiener like model is described as a set of parameters for the nonlinear static subsystem, whose values are obtained by solving linear programming problem. The MIMO Wiener like model structure is then represented as a set of coupled input output MISO models, converting the identification of a coupled MIMO system into the identification of MISO systems. In order to validate the proposed identification algorithm, an illustrative example is provided.
publishDate 2013
dc.date.none.fl_str_mv 2013-12
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/11336/1946
Alvarez, Marcela Patricia; Castro, Liliana Raquel; Figueroa, Jose Luis; Agamennoni, Osvaldo Enrique; Set-Membership Estimation Theory for Coupled MIMO Wiener-like Models; Universidad Nacional del Sur; Latin American Applied Research; 43; 3; 12-2013; 269-274
0327-0793
1851-8796
url http://hdl.handle.net/11336/1946
identifier_str_mv Alvarez, Marcela Patricia; Castro, Liliana Raquel; Figueroa, Jose Luis; Agamennoni, Osvaldo Enrique; Set-Membership Estimation Theory for Coupled MIMO Wiener-like Models; Universidad Nacional del Sur; Latin American Applied Research; 43; 3; 12-2013; 269-274
0327-0793
1851-8796
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.laar.uns.edu.ar/indexes/artic_v4303/Vol43_03_269.pdf
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
dc.publisher.none.fl_str_mv Universidad Nacional del Sur
publisher.none.fl_str_mv Universidad Nacional del Sur
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
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score 13.265058

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