A batch-to-batch optimization strategy is proposed to cope with the presence of data-driven
model uncertainty, and applied to a cobalt oxalate synthesis process. In order to overcome …

Optimal control theory (OCT) is applied to derive nearly analytical solution to single-and
multiobjective dynamic optimization problems for a two-dimensional batch crystallization …

Pontryagin's minimum principle is applied to determine Pareto-optimal fronts for
multiobjective optimization of seeded batch crystallization processes. For cases with two …

The problem of optimizing a batch process under model uncertainty using a batch‐wise
unfolded PLS (BW‐PLS) model‐based modifier‐adaptation (MA) strategy is described. The …

The objective of this work is using the online measurement method to study the process of
precipitation of nickel hydroxide in a single-feed semi-batch stirred reactor with an internal …

In this work, the problem of driving a batch process to a desired final product quality using
data-driven model based midcourse correction (MCC) is described. Specifically, we adapt a …

Crystallization processes have been widely used for separation in many fields to provide a
high purity product. In this work, dynamic optimization and neural network (NN) have been …

The synthesis process has been widely used in cobalt hydrometallurgical industry. To better
operate the cobalt oxalate synthesis process, a data-driven model based hierarchical batch …

In a batch process, the input trajectory is usually predefined before the beginning of a batch
run through the product design according to the desired output. However, within a batch run …

In this work, a derivative‐free batch‐to‐batch optimization method is proposed. In order to
conquer the difficulties in building a first principal model, a local batch‐wise unfolded PLS …