Alf J. Isaksson

Evaluation of Reinforcement Learning for Autonomous Operation: A Distillation Column Case Study

Industrial process autonomy is limited by nonlinear dynamics and the need for operators to handle abnormal events manually. In current practice, economic optimization is managed through a hierarchy of real-time optimization (RTO) and model predictive control (MPC). However, these systems are typically designed for no...