Deep Learning-based Adaptive Control of DC-DC Converters Under Variable Load Conditions
This paper presents a deep learning (DL)-based adaptive control framework to be implemented for the buck-type DC-DC converter under a variable load scenario. By relying on real-time electrical properties, namely input voltage, output voltage, inductor current, output current, and past duty cycle as well as voltage erro...