Learning-PDE-Based Approximate Optimal Control for an MHD System With Uncertainty Quantification-Reference-Cited by-同舟云学术

Learning-PDE-Based Approximate Optimal Control for an MHD System With Uncertainty Quantification

Author:

Chen Tehuan¹^ORCID,Ren Zhigang²^ORCID,Lin Guang³^ORCID,Xu Chao⁴^ORCID

Affiliation:

1. School of Mechanical Engineering and Mechanics, Ningbo University, Ningbo, China

2. School of Automation, Guangdong University of Technology, Guangzhou, China

3. Department of Mathematics and School of Mechanical Engineering, Purdue University, West Lafayette, IN, USA

4. State Key Laboratory of Industrial Control Technology and the Institute of Cyber-Systems and Control, Zhejiang University, Hangzhou, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Basic and Applied Basic Research Foundation of Guangdong Province

Zhejiang Provincial Natural Science Foundation of China

K. C. Wong Magna Fund in Ningbo University

Ningbo Natural Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Human-Computer Interaction,Control and Systems Engineering,Software

Link

Reference38 articles.

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