Johannes Milz

Statistical Inference for Scenario-Based Dynamic Optimization under Uncertainty

Motivated by batch and semi-batch process operation, we study finite-horizon open-loop dynamic optimization problems with uncertain parameters. A common computational approach replaces the expected performance criterion by an average over finitely many sampled parameter realizations. We develop a statistical theory for...