More engineers are turning to reinforcement learning to incorporate adaptive and self-tuning control into industrial systems. It aims to strike a balance between traditional ...
Abstract: This article introduces a learning-based model predictive control (MPC) framework that leverages Gaussian mixture models (GMMs) to address dynamic system uncertainties effectively. To ...
Abstract: This study presents a novel model predictive current control (MPCC) strategy for an interior permanent magnet synchronous motor (IPMSM) drive. The proposed MPCC integrates a sliding mode ...
What if AI doesn’t come to control us through force, but through convenience—predicting our thoughts, smoothing decisions, ...
China, India, and Japan Are Fueling Sustained Demand Across the APAC Truck Tire Market Chinese manufacturers are ...
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