Entry Date:
July 1, 2019

Learned Control of Manufacturing Processes

Principal Investigator Brian Anthony

Project Start Date July 2019


The control of a manufacturing process is critical in maintaining the consistent quality of materials or products. Machine learning, especially deep reinforcement learning, overcomes limitations of other control strategies by adapting to the characteristics of specific production equipment. This project will create a new level of manufacturing system performance using process control methods based on deep learning.