Title: Use Of Neural Networks In Sounding Rocket Trajectory Reconstitution
Authors: Barbosa, Alexandre N.; Silva, José Demisio S. da; Santos, Rafael
Resumo: The neural networks, which are a model of how the brain works, are well known as universal approximators. This article takes advantage of such characteristic on presenting an alternative way for reconstituting a sounding rocket trajectory, instead of using the conventional approach, which spends too much effort. The basic idea is concerned to the use of a neural network to map the difference between nominal and actual flight curves, solving drop-outs, which are occasioned by malfunctions and atmospheric conditions.
Keywords: Neural networks; sounding rocket; trajectory reconstitution
Paper as PDF: 50100014.pdf
BibTex file: 50100014.bib