The growth and impact of artificial intelligence are limited by the power and energy that it takes to train machine learning ...

Computational fluid dynamics (CFD) is a branch of physics that utilizes numerical methods and algorithms to analyze and predict the behavior of fluids and gases under various conditions. This field ...

"In the field of electric propulsion systems for UAVs, not the most energy-efficient engine control methods are used today. Therefore, our goal was to develop a method for achieving significant energy ...

Abstract: Given the availability of more comprehensive measurement data in modern power systems, reinforcement learning (RL) has gained significant interest in ...

The American Control Conference (ACC), the annual conference of the American Automatic Control Council (AACC), will offer ...

South Korean researchers have developed a guided-learning framework that accurately predicts PV power without requiring irradiance sensors during operation, using routine meteorological data instead.

Charcoal grilling has a loyalty problem. People who love it swear by the flavor. People who don’t love it all say the same ...

Abstract: This study presents an adaptive PI current control technique for sensorless speed regulation of high-power propulsion permanent magnet synchronous motors (PMSMs), built on a multivariable ...