Online guidance updates using neural networks
Online guidance updates using neural networks
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Fecha
2010
Autores
Filici, Cristian
Sánchez-Peña, Ricardo
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Resumen
"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."