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Online guidance updates using neural networks
Filici, Cristian Sánchez-Peña, Ricardo
Filici, Cristian
Sánchez-Peña, Ricardo
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Artículo de publicación periódica
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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."
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Date
2010
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Filici_Articulo
Adobe PDF, 301.07 KB
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Keywords
REDES NEURONALES, OPTIMIZACION DE TRAYECTORIA, VEHICULO DE LANZAMIENTO