A mission planning method for deep space detectors using deep reinforcement learning-Reference-Cited by-同舟云学术

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A mission planning method for deep space detectors using deep reinforcement learning

Published:2024-10 Issue: Volume:153 Page:109417
ISSN:1270-9638
Container-title:Aerospace Science and Technology
language:en
Short-container-title:Aerospace Science and Technology

Author:

Qi Yuheng,Gu Defeng,Liu Yuan,Zhu Jubo,Wang Jian,Liu Daoping

Funder

National Key Research and Development Program of China

Sun Yat-sen University

Fundamental Research Funds for the Central Universities

Ministry of Science and Technology of the People's Republic of China

Publisher

Elsevier BV

Reference46 articles.

1. Extended state based planning approach for deep space exploration;Jin;IEEE Trans. Aerosp. Electron. Syst.,2019

2. Rigid-flexible coupling dynamic modeling and analysis of dumbbell-shaped spacecraft;Wang;Aerosp. Sci. Technol.,2022

3. Essential technologies and concepts for massive space exploration: challenges and opportunities;Arzo;IEEE Trans. Aerosp. Electron. Syst.,2023

4. Solar wind stream interaction regions throughout the heliosphere;Richardson;Living Rev. Sol. Phys.,2018

5. Large-eddy simulation of the unsteady supersonic flow around a Mars entry capsule at different angles of attack;Placco;Aerosp. Sci. Technol.,2023

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