An intelligent deep learning approach to spacecraft attitude control: The case of satellites-Reference-Cited by-同舟云学术

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An intelligent deep learning approach to spacecraft attitude control: The case of satellites

Published:2024-09 Issue:14 Volume:361 Page:107078
ISSN:0016-0032
Container-title:Journal of the Franklin Institute
language:en
Short-container-title:Journal of the Franklin Institute

Author:

Soufi Omar^ORCID,Belouadha Fatima Zahra

Publisher

Elsevier BV

Reference31 articles.

1. Star trackers for attitude determination;Liebe;IEEE Aerosp. Electron. Syst. Mag.,1995

2. Accuracy performance of star trackers-A tutorial;Liebe;IEEE Trans. Aerosp. Electron. Syst.,2002

3. Introducing SOST: a very low-cost star tracker concept based on a Raspberry Pi and open source astronomy software;Gutiérrez;IEEE Access,2020

4. A survey on star identification algorithms;Spratling;Algorithms,2009

5. A survey of algorithms for star identification with low-cost star trackers;Ho;Acta Astronaut.,2012

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