An adaptive Koopman MPC with historical safety constraints is proposed for tobacco conditioning, but the claimed Cpk improvements come from model-generated advisor-mode trajectories, not real closed-loop control.
Uncertainty-Aware Data-driven Tobacco Loosening and Conditioning Process Moisture Prediction and Control Optimization,
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Online Learning Control Strategies for Industrial Processes with Application for Loosening and Conditioning
An adaptive Koopman MPC with historical safety constraints is proposed for tobacco conditioning, but the claimed Cpk improvements come from model-generated advisor-mode trajectories, not real closed-loop control.