A Novel Guided Deep Reinforcement Learning Tracking Control Strategy for Multirotors-Reference-Cited by-同舟云学术

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A Novel Guided Deep Reinforcement Learning Tracking Control Strategy for Multirotors

Published:2024 Issue: Volume: Page:1-13
ISSN:1545-5955
Container-title:IEEE Transactions on Automation Science and Engineering
language:
Short-container-title:IEEE Trans. Automat. Sci. Eng.

Author:

Hua Hean¹^ORCID,Wang Yaonan¹^ORCID,Zhong Hang²^ORCID,Zhang Hui²^ORCID,Fang Yongchun³^ORCID

Affiliation:

1. College of Electrical and Information Engineering, Hunan University, Changsha, China

2. National Engineering Research Center for Robot Visual Perception and Control Technology, Changsha, China

3. Institute of Robotics and Automatic Information System, College of Artificial Intelligence, and Tianjin Key Laboratory of Intelligent Robotics, Nankai University, Tianjin, China

Funder

National Key Research and Development Program of China

Natural Science Foundation of Hunan Province

China Postdoctoral Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/8856/4358066/10468052.pdf?arnumber=10468052

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. High-Speed Trajectory Tracking Control for Quadrotors via Deep Reinforcement Learning;2024 39th Youth Academic Annual Conference of Chinese Association of Automation (YAC);2024-06-07

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