Stable Offline Reinforcement Learning for Switched Reluctance Motor Drives via Multi-Demonstrator Policy Distillation
Finite-control-set model predictive control provides excellent torque–speed regulation for switched reluctance motor drives but requires an online combinatorial search at every control instant, making low-cost embedded implementation challenging. This article investigates whether offline reinforcement learning can dist...