| 标题 |
 Coordinated control of gas supply system in PEMFC based on multi-agent deep reinforcement learning |
| 网址 | |
| DOI | |
| 其它 |
Abstract In proton exchange membrane fuel cells (PEMFCs), the hydrogen supply system and air supply system jointly impact the output characteristics, and there is a coordination problem between these two systems. To solve this coordination problem, an intelligent control framework is presented that considers the coordination between the air flux controller and hydrogen flux controller in PEMFCs, and an ensemble imitation learning multi-trick deep deterministic policy gradient (EILMMA-DDPG) is advanced for this framework. The algorithm proposed here complies with an ensemble imitation learning |
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(2025-6-4)
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