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More recent technical advances, based on identical basic principles, are revolutionizing the field. Artificial intelligence, ...

Model predictive control (MPC) has been deemed as an attractive control method in motor drives by virtue of its simple structure, convenient multi-objective optimization, and satisfactory dynamic ...

It is difficult to obtain an accurate mathematical model of a switched reluctance motor (SRM). In this article, the current difference-based model-free predictive current control (CDB-MFPCC) strategy ...

By De Wet Joubert, Operations&Strategic Projects Director, RS South Africa ( South Africa’s discrete manufacturing sector, which includes industrie ...

This study introduces a Q-learning-based nonlinear model predictive control (QL-NMPC) framework for temperature control in batch reactors. A reinforcement learning agent is trained in simulation to ...