MPC operates by creating a dynamic model of the catalytic process, which includes parameters such as reaction rates, temperature profiles, and pressure conditions. It then uses this model to predict future states of the process over a specified horizon. By solving an optimization problem at each control interval, MPC adjusts control inputs like feed rates, heating, and cooling to steer the process towards desired outcomes while minimizing deviations and respecting constraints.
