Online guidance updates using neural networks

"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,...

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Autores principales: Filici, Cristian, Sánchez-Peña, Ricardo
Formato: Artículos de Publicaciones Periódicas acceptedVersion
Lenguaje:Inglés
Publicado: 2022
Materias:
REDES NEURONALES
OPTIMIZACION DE TRAYECTORIA
VEHICULO DE LANZAMIENTO
Acceso en línea:http://ri.itba.edu.ar/handle/123456789/3816
Aporte de:
Repositorio Institucional Instituto Tecnológico de Buenos Aires (ITBA) de Instituto Tecnológico de Buenos Aires (ITBA)
id I32-R138-123456789-3816
record_format dspace
spelling I32-R138-123456789-38162022-12-07T13:06:32Z Online guidance updates using neural networks Filici, Cristian Sánchez-Peña, Ricardo REDES NEURONALES OPTIMIZACION DE TRAYECTORIA VEHICULO DE LANZAMIENTO "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." 2022-04-22T14:48:15Z 2022-04-22T14:48:15Z 2010 Artículos de Publicaciones Periódicas info:eu-repo/semantics/acceptedVersion 0094-5765 http://ri.itba.edu.ar/handle/123456789/3816 en info:eu-repo/semantics/altIdentifier/doi/10.1016/j.actaastro.2009.07.019 application/pdf
institution Instituto Tecnológico de Buenos Aires (ITBA)
institution_str I-32
repository_str R-138
collection Repositorio Institucional Instituto Tecnológico de Buenos Aires (ITBA)
language Inglés
topic REDES NEURONALES
OPTIMIZACION DE TRAYECTORIA
VEHICULO DE LANZAMIENTO
spellingShingle REDES NEURONALES
OPTIMIZACION DE TRAYECTORIA
VEHICULO DE LANZAMIENTO
Filici, Cristian
Sánchez-Peña, Ricardo
Online guidance updates using neural networks
topic_facet REDES NEURONALES
OPTIMIZACION DE TRAYECTORIA
VEHICULO DE LANZAMIENTO
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."
format Artículos de Publicaciones Periódicas
acceptedVersion
author Filici, Cristian
Sánchez-Peña, Ricardo
author_facet Filici, Cristian
Sánchez-Peña, Ricardo
author_sort Filici, Cristian
title Online guidance updates using neural networks
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
publishDate 2022
url http://ri.itba.edu.ar/handle/123456789/3816
work_keys_str_mv AT filicicristian onlineguidanceupdatesusingneuralnetworks
AT sanchezpenaricardo onlineguidanceupdatesusingneuralnetworks
_version_ 1765661114008338432

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