Model-Free Reinforcement-Learning-Based Control Methodology for Power Electronic Converters

This paper presents a novel reinforcement learning (RL) based discrete-time closed-loop control methodology for switch-mode, pulse-width-modulated (PWM) power electronic converters. This method of closed-loop optimal output regulation is achieved by utilizing measured data to approximate system dynamics, thus obviating the need for prior knowledge of system/plant dynamics. The underlying RL algori...