Artículo de Publicación Periódica:
Online guidance updates using neural networks

Fecha

2010

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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."

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Palabras clave

REDES NEURONALES, OPTIMIZACION DE TRAYECTORIA, VEHICULO DE LANZAMIENTO

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