Convergence analysis of the least squares identification algorithm with variable forgetting factor for time varying linear systems

Canetti, Rafael - España, Martín D

Resumen:

This paper studies the convergence of the least-squares identification algorithm with a variable forgetting factor. The evolution of the parameter estimator with respect to initial conditions, actual parameter changes and stochastic perturbations is analysed. Bounds on the deterministic and stochastic parts of their estimator error are found and th...


Detalles Bibliográficos
1987
SISTEMAS y CONTROL
Inglés
Universidad de la República
COLIBRI
https://hdl.handle.net/20.500.12008/20869
Acceso abierto
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author Canetti, Rafael
author2 España, Martín D
author2_role author
author_facet Canetti, Rafael
España, Martín D
author_role author
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collection COLIBRI
dc.creator.none.fl_str_mv Canetti, Rafael
España, Martín D
dc.date.accessioned.none.fl_str_mv 2019-05-29T15:28:36Z
dc.date.available.none.fl_str_mv 2019-05-29T15:28:36Z
dc.date.issued.es.fl_str_mv 1987
dc.date.submitted.es.fl_str_mv 20190528
dc.description.abstract.none.fl_txt_mv This paper studies the convergence of the least-squares identification algorithm with a variable forgetting factor. The evolution of the parameter estimator with respect to initial conditions, actual parameter changes and stochastic perturbations is analysed. Bounds on the deterministic and stochastic parts of their estimator error are found and th...
dc.identifier.citation.es.fl_str_mv Canetti, Rafael, España, Martín D. Convergence analysis of the least squares identification algorithm with variable forgetting factor for time varying linear systems [en línea] Automatica, 1989, v.25, no. 4
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12008/20869
dc.language.iso.none.fl_str_mv en
eng
dc.publisher.es.fl_str_mv Elsevier
dc.relation.ispartof.es.fl_str_mv Automatica, 1989, v.25, no. 4
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
dc.source.none.fl_str_mv reponame:COLIBRI
instname:Universidad de la República
instacron:Universidad de la República
dc.subject.other.es.fl_str_mv SISTEMAS y CONTROL
dc.title.none.fl_str_mv Convergence analysis of the least squares identification algorithm with variable forgetting factor for time varying linear systems
dc.type.es.fl_str_mv Artículo
dc.type.none.fl_str_mv info:eu-repo/semantics/article
dc.type.version.none.fl_str_mv info:eu-repo/semantics/publishedVersion
description This paper studies the convergence of the least-squares identification algorithm with a variable forgetting factor. The evolution of the parameter estimator with respect to initial conditions, actual parameter changes and stochastic perturbations is analysed. Bounds on the deterministic and stochastic parts of their estimator error are found and th...
eu_rights_str_mv openAccess
format article
id COLIBRI_74e17eaa9e1f21b5f892dcc57987d04b
identifier_str_mv Canetti, Rafael, España, Martín D. Convergence analysis of the least squares identification algorithm with variable forgetting factor for time varying linear systems [en línea] Automatica, 1989, v.25, no. 4
instacron_str Universidad de la República
institution Universidad de la República
instname_str Universidad de la República
language eng
language_invalid_str_mv en
network_acronym_str COLIBRI
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oai_identifier_str oai:colibri.udelar.edu.uy:20.500.12008/20869
publishDate 1987
reponame_str COLIBRI
repository.mail.fl_str_mv mabel.seroubian@seciu.edu.uy
repository.name.fl_str_mv COLIBRI - Universidad de la República
repository_id_str 4771
spelling 2019-05-29T15:28:36Z2019-05-29T15:28:36Z198720190528Canetti, Rafael, España, Martín D. Convergence analysis of the least squares identification algorithm with variable forgetting factor for time varying linear systems [en línea] Automatica, 1989, v.25, no. 4https://hdl.handle.net/20.500.12008/20869This paper studies the convergence of the least-squares identification algorithm with a variable forgetting factor. The evolution of the parameter estimator with respect to initial conditions, actual parameter changes and stochastic perturbations is analysed. Bounds on the deterministic and stochastic parts of their estimator error are found and th...Made available in DSpace on 2019-05-29T15:28:36Z (GMT). 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Nº 16 de C.D.C. de 07/10/2014)info:eu-repo/semantics/openAccessSISTEMAS y CONTROLConvergence analysis of the least squares identification algorithm with variable forgetting factor for time varying linear systemsArtículoinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionreponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaCanetti, RafaelEspaña, Martín DSistemas y 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- Universidad de la Repúblicafalse
spellingShingle Convergence analysis of the least squares identification algorithm with variable forgetting factor for time varying linear systems
Canetti, Rafael
SISTEMAS y CONTROL
status_str publishedVersion
title Convergence analysis of the least squares identification algorithm with variable forgetting factor for time varying linear systems
title_full Convergence analysis of the least squares identification algorithm with variable forgetting factor for time varying linear systems
title_fullStr Convergence analysis of the least squares identification algorithm with variable forgetting factor for time varying linear systems
title_full_unstemmed Convergence analysis of the least squares identification algorithm with variable forgetting factor for time varying linear systems
title_short Convergence analysis of the least squares identification algorithm with variable forgetting factor for time varying linear systems
title_sort Convergence analysis of the least squares identification algorithm with variable forgetting factor for time varying linear systems
topic SISTEMAS y CONTROL
url https://hdl.handle.net/20.500.12008/20869