A Novel Nonlinear Deep Reinforcement Learning Controller for DC–DC Power Buck Converters-Reference-Cited by-同舟云学术

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A Novel Nonlinear Deep Reinforcement Learning Controller for DC–DC Power Buck Converters

Published:2021-08 Issue:8 Volume:68 Page:6849-6858
ISSN:0278-0046
Container-title:IEEE Transactions on Industrial Electronics
language:
Short-container-title:IEEE Trans. Ind. Electron.

Author:

Gheisarnejad Meysam^ORCID,Farsizadeh Hamed,Khooban Mohammad Hassan^ORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/41/9420632/09130896.pdf?arnumber=9130896

Cited by 97 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. TD3 Algorithm Based Reinforcement Learning Control for Multiple-Input Multiple-Output DC–DC Converters;IEEE Transactions on Power Electronics;2024-10

2. A Deep Reinforcement Learning Approach to DC-DC Power Electronic Converter Control with Practical Considerations;Energies;2024-07-21

3. Experimental assessment of fuzzy-tree adaptive synergetic control law for DC/DC buck converter;Soft Computing;2024-07-20

4. Voltage-balancing of two controllers for a DC-DC converter-based DC microgrid with experimental verification;Mathematics and Computers in Simulation;2024-07

5. Higher Order Sliding Mode Observer Based Fast Composite Backstepping Control for HESS in DC Microgrids;IEEE Transactions on Sustainable Energy;2024-07

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