Closed-loop Training of Neural Network Controllers for Large Systems: A Distillation Case Study

The author proposes an integrated approach for training output feedback neural network controllers in closed loop to address the challenges of model predictive control. The main thesis is to optimize control policies offline instead of solving optimal control problems online.