Online guidance updates using neural networks

Autores
Filici, Cristian; Sanchez Peña, Ricardo Salvador
Año de publicación
2010
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The aim of this article is to present a method for the online guidance update for a launcher ascent trajectory that is based on the utilization of a neural network approximator. Generation of training patterns and selection of the input and output spaces of the neural network are presented, and implementation issues are discussed. The method is illustrated by a 2-dimensional launcher simulation.
Fil: Filici, Cristian. Universidad de Buenos Aires; Argentina
Fil: Sanchez Peña, Ricardo Salvador. Instituto Tecnológico de Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Materia
NEURAL NETWORK
ONLINE GUIDANCE
TRAINING
TRAJECTORY OPTIMIZATION
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:11336/186496
Acceder
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network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Online guidance updates using neural networksFilici, CristianSanchez Peña, Ricardo SalvadorNEURAL NETWORKONLINE GUIDANCETRAININGTRAJECTORY OPTIMIZATIONhttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2The aim of this article is to present a method for the online guidance update for a launcher ascent trajectory that is based on the utilization of a neural network approximator. Generation of training patterns and selection of the input and output spaces of the neural network are presented, and implementation issues are discussed. The method is illustrated by a 2-dimensional launcher simulation.Fil: Filici, Cristian. Universidad de Buenos Aires; ArgentinaFil: Sanchez Peña, Ricardo Salvador. Instituto Tecnológico de Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaPergamon-Elsevier Science Ltd2010-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/186496Filici, Cristian; Sanchez Peña, Ricardo Salvador; Online guidance updates using neural networks; Pergamon-Elsevier Science Ltd; Acta Astronautica; 66; 3-4; 2-2010; 477-4850094-5765CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/abs/pii/S0094576509003919info:eu-repo/semantics/altIdentifier/doi/10.1016/j.actaastro.2009.07.019info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T10:10:56Zoai:ri.conicet.gov.ar:11336/186496instacron: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:34982025-09-03 10:10:56.79CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Online guidance updates using neural networks
title Online guidance updates using neural networks
spellingShingle Online guidance updates using neural networks
Filici, Cristian
NEURAL NETWORK
ONLINE GUIDANCE
TRAINING
TRAJECTORY OPTIMIZATION
title_short Online guidance updates using neural networks
title_full Online guidance updates using neural networks
title_fullStr Online guidance updates using neural networks
title_full_unstemmed Online guidance updates using neural networks
title_sort Online guidance updates using neural networks
dc.creator.none.fl_str_mv Filici, Cristian
Sanchez Peña, Ricardo Salvador
author Filici, Cristian
author_facet Filici, Cristian
Sanchez Peña, Ricardo Salvador
author_role author
author2 Sanchez Peña, Ricardo Salvador
author2_role author
dc.subject.none.fl_str_mv NEURAL NETWORK
ONLINE GUIDANCE
TRAINING
TRAJECTORY OPTIMIZATION
topic NEURAL NETWORK
ONLINE GUIDANCE
TRAINING
TRAJECTORY OPTIMIZATION
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 aim of this article is to present a method for the online guidance update for a launcher ascent trajectory that is based on the utilization of a neural network approximator. Generation of training patterns and selection of the input and output spaces of the neural network are presented, and implementation issues are discussed. The method is illustrated by a 2-dimensional launcher simulation.
Fil: Filici, Cristian. Universidad de Buenos Aires; Argentina
Fil: Sanchez Peña, Ricardo Salvador. Instituto Tecnológico de Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
description The aim of this article is to present a method for the online guidance update for a launcher ascent trajectory that is based on the utilization of a neural network approximator. Generation of training patterns and selection of the input and output spaces of the neural network are presented, and implementation issues are discussed. The method is illustrated by a 2-dimensional launcher simulation.
publishDate 2010
dc.date.none.fl_str_mv 2010-02
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/11336/186496
Filici, Cristian; Sanchez Peña, Ricardo Salvador; Online guidance updates using neural networks; Pergamon-Elsevier Science Ltd; Acta Astronautica; 66; 3-4; 2-2010; 477-485
0094-5765
CONICET Digital
CONICET
url http://hdl.handle.net/11336/186496
identifier_str_mv Filici, Cristian; Sanchez Peña, Ricardo Salvador; Online guidance updates using neural networks; Pergamon-Elsevier Science Ltd; Acta Astronautica; 66; 3-4; 2-2010; 477-485
0094-5765
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/abs/pii/S0094576509003919
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.actaastro.2009.07.019
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 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 13.13397

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