Intelligent Attitude Control of Hypersonic Vehicle Based on DDQN and Deep Q-Learning from Demonstrations

In order to improve the speed and accuracy of solving the attitude control problem of hypersonic vehicle, an intelligent attitude control method of hypersonic vehicle based on demonstration learning is proposed. Firstly, the control model of hypersonic vehicle is established, and the appropriate act...

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Bibliographic Details
Main Author: Liu Jingwen, Cai Guangbin, Fan Yonghua, Fan Hongdong, Wu Tong, Shang Yiming
Format: Article
Language:zho
Published: Editorial Office of Aero Weaponry 2024-12-01
Series:Hangkong bingqi
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Online Access:https://www.aeroweaponry.avic.com/fileup/1673-5048/PDF/2024-0130.pdf
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