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 ...
The evolution of safety-critical autonomous systems, including agile drones and surgical robots, has fundamentally increased the demands for control design.
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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