一种基于自适应权重更新的永磁同步电机监督学习预测控制方法

The existing learning-based predictive control methods rely on large amounts of data for offline training. To address this issue, this article proposes a supervised learning-based continuous control set predictive method, which only requires the sampling data at the current time to achieve online updates of the controller, significantly reducing implementation complexity and data requirements. Spe...