Satellite attitude tracking control of moving targets combining deep reinforcement learning and predefined-time stability considering energy optimization

•An attitude tracking control method combining deep reinforcement learning and traditional satellite attitude controller for moving targets tracking and observation is proposed.•Integrate LSTM into TD3 to learn the moving state of the target from its image positions and obtain desired attitude in re...

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Vydané v:	Advances in space research Ročník 69; číslo 5; s. 2182 - 2196
Hlavní autori:	Shi, Zhong, Zhao, Fanyu, Wang, Xin, Jin, Zhonghe
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.03.2022
Predmet:	Attitude tracking control Moving target tracking Predefined-time stability Twin delayed deep deterministic policy gradient algorithm Predefined-time stability Attitude tracking control Moving target tracking Twin delayed deep deterministic policy gradient algorithm
ISSN:	0273-1177, 1879-1948
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