基于事件驱动的强化学习预测控制器设计用于三相NPC变换器

This article is concerned with a two-step event-driven in reinforcement learning model-free predictive control problem leveraging online approximators for power converter systems, in which the limitations from system uncertainties and unnecessary switching loss are all addressed. To be specific, the key features of this technical note are: 1) a critic neural network to learn the performance functi...