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A Machine Learning Approach to Run-by-Run Control using Wavelet Modulated Sensor Data

详细技术说明
USF inventors have proposed a controller that is capable of generating optimalcontrol actions in the presence of multiple time-frequencydisturbances and allows the use of realistic (often complex) processmodels without sacrificing robustness and speed of execution.
*Abstract

Researchers at the University of South Florida have developed

a new method of performing wavelet-modulated

reinforcement learning-based run-by-run (RbR) control to

manage output variability in a manufacturing process run.

国家/地区
美国

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