Transferring Online Reinforcement Learning for Electric Motor Control From Simulation to Real-World Experiments-Reference-Cited by-同舟云学术

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Transferring Online Reinforcement Learning for Electric Motor Control From Simulation to Real-World Experiments

Published:2021 Issue: Volume:2 Page:187-201
ISSN:2644-1314
Container-title:IEEE Open Journal of Power Electronics
language:
Short-container-title:IEEE Open J. Power Electron.

Author:

Book Gerrit^ORCID,Traue Arne,Balakrishna Praneeth,Brosch Anian,Schenke Maximilian^ORCID,Hanke Soren^ORCID,Kirchgassner Wilhelm^ORCID,Wallscheid Oliver^ORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Medicine

Link

http://xplorestaging.ieee.org/ielx7/8782709/9343742/09376968.pdf?arnumber=9376968

Cited by 27 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. Experimental Implementation of a TD3 Agent Based Speed Controller for Direct Torque Control of PMSM Drives;IETE Journal of Research;2024-09

2. LExCI: A framework for reinforcement learning with embedded systems;Applied Intelligence;2024-06-26

3. Adaptive PI Utilizing Maximum Torque per Ampere Strategy for PMSM Considering Saturation Effect;2024 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM);2024-06-19

4. Data-Driven TD3 Control of IM Considering Magnetic Saturation and Temperature Effect;2024 6th Global Power, Energy and Communication Conference (GPECOM);2024-06-04

5. Speed Control of IM Using RL-Based TD3 Agent;2024 6th Global Power, Energy and Communication Conference (GPECOM);2024-06-04

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