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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| 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 |