Machine Learning-based modeling of a pharmaceutical production process using the Koopman-Operator for Model Predictive Control
Masterarbeit in Kooperation mit Boehringer Ingelheim
Master thesis
The aim of this thesis is an investigation, whether recent Koopman-inspired methods applied to production data from this process equipment lead to a model of the process dynamics suitable for model-based control (e.g. MPC).
