RUN-TO-RUN OPTIMIZATION VIA CONSTRAINT CONTROL

Abstract Run-to-run optimization methodologies exploit the repetitive nature of batch processes to find the optimal operating policy in the presence of uncertainty. For the class of batch optimization problems where the solution is determined by terminal constraints, the update of the decision variables towards their optimal values is realized using a constraint control scheme. The methodology is adapted to improve the cost function from batch to batch without constraint violation.