Nonlinear identification of aircraft gas-turbine dynamics

Detalhes bibliográficos
Autor(a) principal: Ruano, Antonio
Data de Publicação: 2003
Outros Autores: Fleming, P. J., Teixeira, C. A., Rodriguez-Vázquez, K., Fonseca, C. M.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.1/2286
Resumo: Identi cation results for the shaft-speed dynamics of an aircraft gas turbine, under normal operation, are presented. As it has been found that the dynamics vary with the operating point, nonlinear models are employed. Two di7erent approaches are considered: NARX models, and neural network models, namely multilayer perceptrons, radial basis function networks and B-spline networks. A special attention is given to genetic programming, in a multiobjective fashion, to determine the structure ofNARMAX and B-spline models.
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spelling Nonlinear identification of aircraft gas-turbine dynamicsGas-turbine enginesNonlinear system identificationNeural networksGenetic programmingMultiobjective optimisationIdenti cation results for the shaft-speed dynamics of an aircraft gas turbine, under normal operation, are presented. As it has been found that the dynamics vary with the operating point, nonlinear models are employed. Two di7erent approaches are considered: NARX models, and neural network models, namely multilayer perceptrons, radial basis function networks and B-spline networks. A special attention is given to genetic programming, in a multiobjective fashion, to determine the structure ofNARMAX and B-spline models.ElsevierSapientiaRuano, AntonioFleming, P. J.Teixeira, C. A.Rodriguez-Vázquez, K.Fonseca, C. M.2013-02-11T10:32:42Z20032013-01-27T23:23:09Z2003-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.1/2286engRuano, A. E.; Fleming, P. J.; Teixeira, C.; Rodriguez-Vázquez, K.; Fonseca, C. M. Nonlinear identification of aircraft gas-turbine dynamics, Neurocomputing, 55, 3-4, 551-579, 2003.09252312AUT: ARU00698;http://dx.doi.org/10.1016/S0925-2312(03)00393-Xinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-24T10:13:18Zoai:sapientia.ualg.pt:10400.1/2286Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:56:09.421731Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Nonlinear identification of aircraft gas-turbine dynamics
title Nonlinear identification of aircraft gas-turbine dynamics
spellingShingle Nonlinear identification of aircraft gas-turbine dynamics
Ruano, Antonio
Gas-turbine engines
Nonlinear system identification
Neural networks
Genetic programming
Multiobjective optimisation
title_short Nonlinear identification of aircraft gas-turbine dynamics
title_full Nonlinear identification of aircraft gas-turbine dynamics
title_fullStr Nonlinear identification of aircraft gas-turbine dynamics
title_full_unstemmed Nonlinear identification of aircraft gas-turbine dynamics
title_sort Nonlinear identification of aircraft gas-turbine dynamics
author Ruano, Antonio
author_facet Ruano, Antonio
Fleming, P. J.
Teixeira, C. A.
Rodriguez-Vázquez, K.
Fonseca, C. M.
author_role author
author2 Fleming, P. J.
Teixeira, C. A.
Rodriguez-Vázquez, K.
Fonseca, C. M.
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Sapientia
dc.contributor.author.fl_str_mv Ruano, Antonio
Fleming, P. J.
Teixeira, C. A.
Rodriguez-Vázquez, K.
Fonseca, C. M.
dc.subject.por.fl_str_mv Gas-turbine engines
Nonlinear system identification
Neural networks
Genetic programming
Multiobjective optimisation
topic Gas-turbine engines
Nonlinear system identification
Neural networks
Genetic programming
Multiobjective optimisation
description Identi cation results for the shaft-speed dynamics of an aircraft gas turbine, under normal operation, are presented. As it has been found that the dynamics vary with the operating point, nonlinear models are employed. Two di7erent approaches are considered: NARX models, and neural network models, namely multilayer perceptrons, radial basis function networks and B-spline networks. A special attention is given to genetic programming, in a multiobjective fashion, to determine the structure ofNARMAX and B-spline models.
publishDate 2003
dc.date.none.fl_str_mv 2003
2003-01-01T00:00:00Z
2013-02-11T10:32:42Z
2013-01-27T23:23:09Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.1/2286
url http://hdl.handle.net/10400.1/2286
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Ruano, A. E.; Fleming, P. J.; Teixeira, C.; Rodriguez-Vázquez, K.; Fonseca, C. M. Nonlinear identification of aircraft gas-turbine dynamics, Neurocomputing, 55, 3-4, 551-579, 2003.
09252312
AUT: ARU00698;
http://dx.doi.org/10.1016/S0925-2312(03)00393-X
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
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