Deep Reinforcement Learning-Based Accurate Control of Planetary Soft Landing

Planetary soft landing has been studied extensively due to its promising application prospects. In this paper, a soft landing control algorithm based on deep reinforcement learning (DRL) with good convergence property is proposed. First, the soft landing problem of the powered descent phase is formu...

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Detalles Bibliográficos
Autores principales: Xu, Xibao, Chen, Yushen, Bai, Chengchao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8662435/
https://www.ncbi.nlm.nih.gov/pubmed/34884162
http://dx.doi.org/10.3390/s21238161

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8662435/
https://www.ncbi.nlm.nih.gov/pubmed/34884162
http://dx.doi.org/10.3390/s21238161

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