The CRN 2026 Partner Program Guide takes a look at how partner programs changed over the last 12 months to incorporate or ...
More engineers are turning to reinforcement learning to incorporate adaptive and self-tuning control into industrial systems.
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 ...
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.
Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...
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