| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1715840 | Acta Astronautica | 2010 | 9 Pages |
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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Authors
Cristian Filici, Ricardo S. Sánchez Peña,