Optimal Spin Polarization Control for the Spin-Exchange Relaxation-Free System Using Adaptive Dynamic Programming-Reference-Cited by-同舟云学术

Optimal Spin Polarization Control for the Spin-Exchange Relaxation-Free System Using Adaptive Dynamic Programming

Published:2022 Issue: Volume: Page:1-13
ISSN:2162-237X
Container-title:IEEE Transactions on Neural Networks and Learning Systems
language:
Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Wang Ruigang¹^ORCID,Wang Zhuo¹^ORCID,Liu Sixun¹^ORCID,Li Tao²,Li Feng¹^ORCID,Qin Bodong¹^ORCID,Wei Qinglai²^ORCID

Affiliation:

1. Hangzhou Innovation Institute, Zhejiang Provincial Key Laboratory of Ultra-Weak Magnetic-Field Space and Applied Technology, Beihang University, Hangzhou, China

2. Institute of Automation, State Key Laboratory for Management and Control of Complex Systems, Chinese Academy of Sciences, Beijing, China

Funder

Key Area Research and Development Program of Guangdong Province

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

http://xplorestaging.ieee.org/ielx7/5962385/6104215/09999225.pdf?arnumber=9999225

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