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Model-Guided Local Bayesian Optimization for Tuning of Interpretable Controllers in Injection Molding
Advanced control methods have proven effective for controlling cavity pressure, a key determinant of part-quality attributes, in the plastics injection molding process. However, the abstract nature of the resulting control laws makes them difficult to interpret in a production environment, thereby l
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