Adaptive generalized ZEM-ZEV feedback guidance for planetary landing via a deep reinforcement learning approach

Precision landing on large and small planetary bodies is a technology of utmost importance for future human and robotic exploration of the solar system. In this context, the Zero-Effort-Miss/Zero-Effort-Velocity (ZEM/ZEV) feedback guidance algorithm has been studied extensively and is still a field...

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Vydáno v:	Acta astronautica Ročník 171; s. 156 - 171
Hlavní autoři:	Furfaro, Roberto, Scorsoglio, Andrea, Linares, Richard, Massari, Mauro
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elmsford Elsevier Ltd 01.06.2020 Elsevier BV
Témata:	Adaptive algorithms Algorithms Closed loops Closed-loop guidance Deep reinfocement learning Feedback Machine learning Optimal landing guidance Planetary landing Solar system Spacecraft Spacecraft guidance Optimal landing guidance Closed-loop guidance Deep reinfocement learning
ISSN:	0094-5765, 1879-2030
On-line přístup:	Získat plný text
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