Abstract: This article proposes a new current control for switched reluctance motor (SRM) drives. The proposed method is based on the principles of model-free predictive control. Therefore, it ...
A machine-learning model developed by Weill Cornell Medicine investigators may provide clinicians with an early warning of a complication that can occur late in pregnancy.
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 ...
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