Data-driven models with different complexity levels related to their use (description/soft sensor/control)

Data-driven models will be derived by applying MLPCA to the datasets to determine the data-driven required number of pseudo-bioreactions. In a second step, a decision on the kinetic structure (grey-box vs black-box) will be taken with respect to the data content. Eventually, an adapted identification procedure will be applied and validated with the datasets.