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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...
In the present work, an artificial intelligence (AI)-based direct current to alternating current converter is developed for fast power conversion with reduced harmonic distortion in three-phase power systems. The system that comprises a DC-link source, inverter switching network, pulse width modulation (PWM) control me...
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