Nonlinear uncertainty model of a magnetic suspension system

Autores
Agamennoni, Osvaldo Enrique; Skrjanc, Igor; Lepetic, Marco; Chiacchiarini, Hector Gerardo; Matko, Drago
Año de publicación
2004
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The nonlinear identification of a nominal model as well as the uncertainty bounds of a magnetic suspension system is developed. This system has a nonsymmetric dynamic behavior; it has an undershoot but not an overshoot. The proposed model structure is a cascade of a global linear fuzzy dynamic block followed by a piecewise linear function. This model structure allows a proper identification of the system dynamic and a tight description of the uncertainties.
Fil: Agamennoni, Osvaldo Enrique. Universidad Nacional del Sur. Departamento de Ingeniería Eléctrica y de Computadoras; Argentina. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas; Argentina
Fil: Skrjanc, Igor. University of Ljubljana; Eslovenia
Fil: Lepetic, Marco. University of Ljubljana; Eslovenia
Fil: Chiacchiarini, Hector Gerardo. Universidad Nacional del Sur. Departamento de Ingeniería Eléctrica y de Computadoras; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca; Argentina
Fil: Matko, Drago. University of Ljubljana; Eslovenia
Materia
Nonlinear system identification
Uncertain systems
Fuzzy logic
Piecewise linear functions
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:11336/106324
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Nonlinear uncertainty model of a magnetic suspension systemAgamennoni, Osvaldo EnriqueSkrjanc, IgorLepetic, MarcoChiacchiarini, Hector GerardoMatko, DragoNonlinear system identificationUncertain systemsFuzzy logicPiecewise linear functionshttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2The nonlinear identification of a nominal model as well as the uncertainty bounds of a magnetic suspension system is developed. This system has a nonsymmetric dynamic behavior; it has an undershoot but not an overshoot. The proposed model structure is a cascade of a global linear fuzzy dynamic block followed by a piecewise linear function. This model structure allows a proper identification of the system dynamic and a tight description of the uncertainties.Fil: Agamennoni, Osvaldo Enrique. Universidad Nacional del Sur. Departamento de Ingeniería Eléctrica y de Computadoras; Argentina. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas; ArgentinaFil: Skrjanc, Igor. University of Ljubljana; EsloveniaFil: Lepetic, Marco. University of Ljubljana; EsloveniaFil: Chiacchiarini, Hector Gerardo. Universidad Nacional del Sur. Departamento de Ingeniería Eléctrica y de Computadoras; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca; ArgentinaFil: Matko, Drago. University of Ljubljana; EsloveniaPergamon-Elsevier Science Ltd2004-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/106324Agamennoni, Osvaldo Enrique; Skrjanc, Igor; Lepetic, Marco; Chiacchiarini, Hector Gerardo; Matko, Drago; Nonlinear uncertainty model of a magnetic suspension system; Pergamon-Elsevier Science Ltd; Mathematical And Computer Modelling; 40; 9-10; 11-2004; 1075-10870895-7177CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0895717704003048info:eu-repo/semantics/altIdentifier/doi/10.1016/j.mcm.2003.09.043info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:29:34Zoai:ri.conicet.gov.ar:11336/106324instacron: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:34982025-09-29 10:29:34.932CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Nonlinear uncertainty model of a magnetic suspension system
title Nonlinear uncertainty model of a magnetic suspension system
spellingShingle Nonlinear uncertainty model of a magnetic suspension system
Agamennoni, Osvaldo Enrique
Nonlinear system identification
Uncertain systems
Fuzzy logic
Piecewise linear functions
title_short Nonlinear uncertainty model of a magnetic suspension system
title_full Nonlinear uncertainty model of a magnetic suspension system
title_fullStr Nonlinear uncertainty model of a magnetic suspension system
title_full_unstemmed Nonlinear uncertainty model of a magnetic suspension system
title_sort Nonlinear uncertainty model of a magnetic suspension system
dc.creator.none.fl_str_mv Agamennoni, Osvaldo Enrique
Skrjanc, Igor
Lepetic, Marco
Chiacchiarini, Hector Gerardo
Matko, Drago
author Agamennoni, Osvaldo Enrique
author_facet Agamennoni, Osvaldo Enrique
Skrjanc, Igor
Lepetic, Marco
Chiacchiarini, Hector Gerardo
Matko, Drago
author_role author
author2 Skrjanc, Igor
Lepetic, Marco
Chiacchiarini, Hector Gerardo
Matko, Drago
author2_role author
author
author
author
dc.subject.none.fl_str_mv Nonlinear system identification
Uncertain systems
Fuzzy logic
Piecewise linear functions
topic Nonlinear system identification
Uncertain systems
Fuzzy logic
Piecewise linear functions
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv The nonlinear identification of a nominal model as well as the uncertainty bounds of a magnetic suspension system is developed. This system has a nonsymmetric dynamic behavior; it has an undershoot but not an overshoot. The proposed model structure is a cascade of a global linear fuzzy dynamic block followed by a piecewise linear function. This model structure allows a proper identification of the system dynamic and a tight description of the uncertainties.
Fil: Agamennoni, Osvaldo Enrique. Universidad Nacional del Sur. Departamento de Ingeniería Eléctrica y de Computadoras; Argentina. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas; Argentina
Fil: Skrjanc, Igor. University of Ljubljana; Eslovenia
Fil: Lepetic, Marco. University of Ljubljana; Eslovenia
Fil: Chiacchiarini, Hector Gerardo. Universidad Nacional del Sur. Departamento de Ingeniería Eléctrica y de Computadoras; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca; Argentina
Fil: Matko, Drago. University of Ljubljana; Eslovenia
description The nonlinear identification of a nominal model as well as the uncertainty bounds of a magnetic suspension system is developed. This system has a nonsymmetric dynamic behavior; it has an undershoot but not an overshoot. The proposed model structure is a cascade of a global linear fuzzy dynamic block followed by a piecewise linear function. This model structure allows a proper identification of the system dynamic and a tight description of the uncertainties.
publishDate 2004
dc.date.none.fl_str_mv 2004-11
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/11336/106324
Agamennoni, Osvaldo Enrique; Skrjanc, Igor; Lepetic, Marco; Chiacchiarini, Hector Gerardo; Matko, Drago; Nonlinear uncertainty model of a magnetic suspension system; Pergamon-Elsevier Science Ltd; Mathematical And Computer Modelling; 40; 9-10; 11-2004; 1075-1087
0895-7177
CONICET Digital
CONICET
url http://hdl.handle.net/11336/106324
identifier_str_mv Agamennoni, Osvaldo Enrique; Skrjanc, Igor; Lepetic, Marco; Chiacchiarini, Hector Gerardo; Matko, Drago; Nonlinear uncertainty model of a magnetic suspension system; Pergamon-Elsevier Science Ltd; Mathematical And Computer Modelling; 40; 9-10; 11-2004; 1075-1087
0895-7177
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0895717704003048
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.mcm.2003.09.043
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
application/pdf
dc.publisher.none.fl_str_mv Pergamon-Elsevier Science Ltd
publisher.none.fl_str_mv Pergamon-Elsevier Science 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
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score 13.070432

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