Mars powered descent phase guidance law based on reinforcement learning for collision avoidance
Work
Year: 2023
Type: article
Abstract: Summary This paper proposes a reinforcement learning‐based guidance law for Mars powered descent phase, which is an effective online calculation method that handles the nonlinearity caused by the mass... more
Authors Yao Zhang, Tianyi Zeng, Yanning Guo, Guangfu Ma
Institutions University of Southampton, University of Nottingham, Rolls-Royce (United Kingdom), Harbin Institute of Technology
Cites: 26
Cited by: 1
Related to: 10
FWCI: 0.351
Citation percentile (by year/subfield): 47.12
Subfield: Aerospace Engineering
Field: Engineering
Domain: Physical Sciences
Sustainable Development Goal Peace, justice, and strong institutions
Open Access status: green
Funders National Natural Science Foundation of China, National Natural Science Foundation of China, National Natural Science Foundation of China
Grant IDS 61876050, 62203219, 61973100