Integrated process monitoring and control of active pharmaceutical ingredients production via tensor based data driven modeling methods. iMPC4API KU Leuven
General purpose
The ultimate goal of this project is to develop an advanced data driven modeling methodology for full scale plant-wide API production processes. The constructed models are intended for advanced monitoring and control of the processes, which are understood as integrated systems formed by multiple heterogeneous subsystems. Therefore the key aspect is learning the relationships between process variables along the process ...