Establish a hybrid integrated control framework for machine cycle time and energy control. \ Combine the strengths of both deep reinforcement learning (DRL) and feedback control.\ Develop a DRL algorithm boosted by model-based value expansion for cycle time control. \ Develop feedback control for energy saving using system property of opportunity window. \ Demonstrate the great potential of hybrid integrated control in manufacturing industry.
Lab Contributors: Chen