artículo de publicación periódica.page.titleprefix
Online guidance updates using neural networks

dc.contributor.authorFilici, Cristian
dc.contributor.authorSánchez-Peña, Ricardo
dc.date.accessioned2022-04-22T14:48:15Z
dc.date.available2022-04-22T14:48:15Z
dc.date.issued2010
dc.description.abstract"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."en
dc.identifier.issn0094-5765
dc.identifier.urihttp://ri.itba.edu.ar/handle/123456789/3816
dc.language.isoenen
dc.relationinfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.actaastro.2009.07.019
dc.subjectREDES NEURONALESes
dc.subjectOPTIMIZACION DE TRAYECTORIAes
dc.subjectVEHICULO DE LANZAMIENTOes
dc.titleOnline guidance updates using neural networksen
dc.typeArtículos de Publicaciones Periódicases
dc.typeinfo:eu-repo/semantics/acceptedVersion
dspace.entity.typeArtículo de Publicación Periódica
itba.description.filiationFil: Filici, Cristian. Comisión Nacional de Actividades Espaciales; Argentina.
itba.description.filiationFil: Filici, Cristian. Universidad de Buenos Aires; Argentina.
itba.description.filiationFil: Sánchez-Peña, Ricardo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.
itba.description.filiationFil: Sánchez-Peña, Ricardo. Instituto Tecnológico de Buenos Aires; Argentina.

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