A Novel FPGA-Based Circuit Simulator for Accelerating Reinforcement Learning-Based Design of Power Converters-Reference-Cited by-同舟云学术

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A Novel FPGA-Based Circuit Simulator for Accelerating Reinforcement Learning-Based Design of Power Converters

Published:2023-07 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 34th International Conference on Application-specific Systems, Architectures and Processors (ASAP)
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Author:

Xu Zhenyu¹,Yu Miaoxiang¹,Cai Jillian¹,Yang Qing¹,Jeong Yeonho¹,Wei Tao¹

Affiliation:

1. University of Rhode Island,Electrical, Computer and Biomedical Engineering,Kingston,US

Funder

Office of Naval Research (ONR)

National Science Foundation (NSF)

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10265289/10265693/10265715.pdf?arnumber=10265715

Reference24 articles.

1. A reinforcement learning approach for MPPT control method of photovoltaic sources

2. Power ferrite loss formulas for transformer design;mulder;Proceedings of the Power Conversion and Intelligence Motion,1995

3. An Overview of Artificial Intelligence Applications for Power Electronics

4. Deep Reinforcement Learning for Analog Circuit Sizing

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. A digital prediction compensation for DR improvement in CT DSM with digital noise coupling;Electronics Letters;2024-02-26

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