Worst-case analysis of finite-time control policies

Finite-time control policies are common in batch and semibatch operations. A novel approach is proposed that quantifies the impact of parameter and co ntrol implementation inaccuracies on the performance of such control polici es. This information can be used to decide whether more experiments are nee ded to produce parameter estimates of higher accuracy, or to define perform ance objectives for the lower level control loops that implement the contro l trajectory. The approach is evaluated through application to the multidim ensional growth of crystals used in nonlinear optics applications, where th e nominal parameters and uncertainties are quantified from experimental dat a. Robustness estimates are provided with reasonable computational requirem ents.