Algorithms that respond to real-time feedback and can learn to respond to experimental irregularities can help deal with the complexities of biological manufacturing. That’s the subject of a talk due ...

The application of modeling tools to better understand and control bioprocess development and manufacturing has become a hot topic within the last few years. However, what do we actually need to ...

Effectively using a perfusion bioreactor for continuous bioprocessing depends on process control. “However, most experimental applications and reported studies are based on simple models and follow ...

Model Predictive Control (MPC) has emerged as a pivotal strategy for optimising the performance of power electronic converters and motor drive systems. By utilising an explicit model of the controlled ...

Economic Model Predictive Control (EMPC) represents an evolution of traditional control strategies, where the primary objective is to directly optimise an economic cost function rather than merely ...