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 ...
Event-driven architectures offer a strategic path to real-time execution, resilience and operational transparency across ...
Abstract: Model-free predictive current control (MFPCC) of permanent magnet synchronous machines (PMSMs) can be achieved by utilizing measured input–output data to eliminate the influence of machine ...
Abstract: A novel Model Predictive Control (MPC) framework called disturbance-learning MPC (DL-MPC) for constrained LTI systems subject to bounded disturbances is proposed. The primary objective is to ...
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