Nature

Reinforcement learning-driven model predictive control for optimizing counter-rotating permanent magnet synchronous motor in submarine propulsion system

Counter Rotating Permanent Magnet Synchronous Motors (CRPMSM) are increasingly favored in underwater application due to their high torque density, efficiency and ability to cancel out yaw inducing ...
Nature

Adaptive distributed stochastic deep reinforcement learning control for voltage and frequency restoration in islanded AC microgrids with communication noise and delay

This paper proposes an adaptive secondary control strategy for islanded AC microgrids (MGs) using Distributed Stochastic Deep Reinforcement Learning (DSDRL), targeting reliable frequency and voltage ...