Learning-based Control for PMSM Using Distributed Gaussian Processes with Optimal Aggregation Strategy-Reference-Cited by-同舟云学术

Learning-based Control for PMSM Using Distributed Gaussian Processes with Optimal Aggregation Strategy

Published:2023-10-16 Issue: Volume: Page:
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Container-title:IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society
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Author:

Yin Zhenxiao¹,Dai Xiaobing²,Yang Zewen³,Shen Yang¹,Hattab Georges³,Zhao Hang¹

Affiliation:

1. The Hong Kong University of Science and Technology (Guangzhou),Robotics and Autonomous Systems Thrust,Guangzhou,China

2. Technical University of Munich,Chair of Information-oriented Control,Munich,Germany

3. Robert Koch Institute,Center for Artificial Intelligence in Public Health Research (ZKI-PH),Berlin,Germany

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10311571/10311610/10312503.pdf?arnumber=10312503

Reference26 articles.

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2. Sparse online Gaussian process adaptation for incremental backstepping flight control

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4. Efficient high dimensional bayesian optimization with additivity and quadrature fourier features;mutny;Advances in neural information processing systems,2018

5. Can Learning Deteriorate Control? Analyzing Computational Delays in Gaussian Process-Based Event-Triggered Online Learning;dai;5th Annual Learning for Dynamics & Control Conference,0

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