电力变换器的FCS-MPC：一种数据驱动的无模型强化学习解决方案

This article builds the theoretical foundations for finite-control set model predictive control by leveraging the theory of data-driven model-free reinforcement learning solution. Specifically, the philosophy behind the proposed control methodology relies on the conjunction of developing a proportional–integral-like data-driven dynamic internal model predictive control, deploying a reinforcement l...