@inbook{c285e35f0c5444f586954707903bea1a,
title = "Neural-based trajectory shaping approach for terminal planetary pinpoint guidance",
abstract = "In this paper, we present an approach to pinpoint landing based on what we consider to be the next evolution of path shaping methodologies based on potential functions. We employ neural network methodologies to learn the relationship between current spacecraft position and the optimal velocity field required to shape the path to the surface in a fuel efficient fashion. By ensuring that the velocity field is convergent to the desired target, a first-order guidance algorithm is designed to track the optimal velocity field.",
keywords = "trajectory design, planetary pinpoint guidance, neural network applications",
author = "Roberto Furaro and Jules Simo and Brian Gaudet and Daniel Wibben",
year = "2013",
month = aug,
day = "11",
language = "English",
volume = "150",
series = "Advances in the Astronautical Sciences",
publisher = "Univelt Inc",
number = "I-III",
pages = "2557--2574",
editor = "Broschart, {Stephen } and James Turner and Kathleen Howell and Felix Hoots",
booktitle = "Advances in the Astronautical Sciences",
note = "AAS/AIAA Astrodynamics Specialist Conference 2013 ; Conference date: 11-08-2013 Through 15-08-2013",
}