Fault-Tolerant Attitude Tracking Control Driven by Spiking NNs for Unmanned Aerial Vehicles

Author:

Yu Wei1ORCID,Yang Ning2ORCID,Wang Zhijiong3,Li Hung Chun3,Zhang Anguo4ORCID,Mu Chaoxu5ORCID,Pun Sio Hang3ORCID

Affiliation:

1. Chongqing Key Laboratory of Autonomous Systems and the School of Automation, Chongqing University, Chongqing, China

2. Institute of Microelectronics, State Key Laboratory of Analog and Mixed-Signal VLSI, University of Macau, Macau, China

3. Joint Laboratory, Zhuhai UM Science and Technology Research Institute—Lingyange Semiconductor Inc, Zhuhai, China

4. Ministry of Education, and the Anhui Provincial Engineering Research Center for Unmanned System and Intelligent Technology, School of Artificial Intelligence, the Research Center of Autonomous Unmanned System Technology, Anhui University, Hefei, China

5. School of Electrical and Information Engineering, Tianjin University, Tianjin, China

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Lingyange Semiconductor Inc., China

Blue Ocean Smart System (Nanjing) Ltd.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Software

Cited by 2 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. Spiking neural networks in intelligent control systems: a perspective;Science China Information Sciences;2024-06-24

2. 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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