Recursive bayesian identification of nonlinear autonomous systems
Autor(a) principal: | |
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Data de Publicação: | 2012 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10174/8091 https://doi.org/10.1109/MED.2012.6265640 |
Resumo: | This paper concerns the recursive identification of nonlinear discrete-time systems for which the original equations of motion are not known. Since the true model structure is not available, we replace it with a generic nonlinear model. This generic model discretizes the state space into a finite grid and associates a set of velocity vectors to the nodes of the grid. The velocity vectors are then interpolated to define a vector field on the complete state space. The proposed method follows a Bayesian framework where the identified velocity vectors are selected by the maximum a posteriori (MAP) criterion. The resulting algorithms allow a recursive update of the velocity vectors as new data is obtained. Simulation examples using the recursive algorithm are presented. |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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7160 |
spelling |
Recursive bayesian identification of nonlinear autonomous systemsThis paper concerns the recursive identification of nonlinear discrete-time systems for which the original equations of motion are not known. Since the true model structure is not available, we replace it with a generic nonlinear model. This generic model discretizes the state space into a finite grid and associates a set of velocity vectors to the nodes of the grid. The velocity vectors are then interpolated to define a vector field on the complete state space. The proposed method follows a Bayesian framework where the identified velocity vectors are selected by the maximum a posteriori (MAP) criterion. The resulting algorithms allow a recursive update of the velocity vectors as new data is obtained. Simulation examples using the recursive algorithm are presented.2013-01-30T16:50:25Z2013-01-302012-07-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10174/8091http://hdl.handle.net/10174/8091https://doi.org/10.1109/MED.2012.6265640porT. Simão, M. Barão, J. S. Marques, "Recursive bayesian identification of nonlinear autonomous systems", in proceedings of 20th Mediterranean Conference on Control and Automation, pp. 210-215, Barcelon, Spain, July, 2012.ndmjsb@uevora.ptnd493Simão, TiagoBarão, MiguelMarques, Jorge S.info: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:RCAAP2024-01-03T18:48:50Zoai:dspace.uevora.pt:10174/8091Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:02:28.363405Repositório 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 |
Recursive bayesian identification of nonlinear autonomous systems |
title |
Recursive bayesian identification of nonlinear autonomous systems |
spellingShingle |
Recursive bayesian identification of nonlinear autonomous systems Simão, Tiago |
title_short |
Recursive bayesian identification of nonlinear autonomous systems |
title_full |
Recursive bayesian identification of nonlinear autonomous systems |
title_fullStr |
Recursive bayesian identification of nonlinear autonomous systems |
title_full_unstemmed |
Recursive bayesian identification of nonlinear autonomous systems |
title_sort |
Recursive bayesian identification of nonlinear autonomous systems |
author |
Simão, Tiago |
author_facet |
Simão, Tiago Barão, Miguel Marques, Jorge S. |
author_role |
author |
author2 |
Barão, Miguel Marques, Jorge S. |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Simão, Tiago Barão, Miguel Marques, Jorge S. |
description |
This paper concerns the recursive identification of nonlinear discrete-time systems for which the original equations of motion are not known. Since the true model structure is not available, we replace it with a generic nonlinear model. This generic model discretizes the state space into a finite grid and associates a set of velocity vectors to the nodes of the grid. The velocity vectors are then interpolated to define a vector field on the complete state space. The proposed method follows a Bayesian framework where the identified velocity vectors are selected by the maximum a posteriori (MAP) criterion. The resulting algorithms allow a recursive update of the velocity vectors as new data is obtained. Simulation examples using the recursive algorithm are presented. |
publishDate |
2012 |
dc.date.none.fl_str_mv |
2012-07-01T00:00:00Z 2013-01-30T16:50:25Z 2013-01-30 |
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/10174/8091 http://hdl.handle.net/10174/8091 https://doi.org/10.1109/MED.2012.6265640 |
url |
http://hdl.handle.net/10174/8091 https://doi.org/10.1109/MED.2012.6265640 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
T. Simão, M. Barão, J. S. Marques, "Recursive bayesian identification of nonlinear autonomous systems", in proceedings of 20th Mediterranean Conference on Control and Automation, pp. 210-215, Barcelon, Spain, July, 2012. nd mjsb@uevora.pt nd 493 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
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 |
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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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1799136509156130816 |