In the literature, machine learning (ML) and artificial intelligence (AI) applications tend to
start with examples that are irrelevant to process engineers (eg classification of images …

Feedback optimizing control aims to achieve asymptotic optimal operation by directly
manipulating the inputs using feedback controllers, without the need to solve numerical …

Bioprocesses have received a lot of attention to produce clean and sustainable alternatives
to fossil-based materials. However, they are generally difficult to optimize due to their …

Abstract Model‐based online optimization has not been widely applied to bioprocesses due
to the challenges of modeling complex biological behaviors, low‐quality industrial …

This paper investigates a new class of modifier-adaptation schemes to overcome plant-
model mismatch in real-time optimization of uncertain processes. The main contribution lies …

Hybrid modelling combines data-driven and mechanistic modelling, providing a cost-
effective solution to modelling complex biochemical reaction kinetics when the underlying …

Control of batch processes is a difficult task due to their complex nonlinear dynamics and
unsteady-state operating conditions within batch and batch-to-batch. It is expected that some …

In the biogas plants, organic material is converted to biogas under anaerobic conditions
through physical and biochemical processes. From supply of the raw material to the arrival …

Modular plants using intensified continuous processes represent an appealing concept for
the production of pharmaceuticals. It can improve quality, safety, sustainability, and …

Process intensification (PI) has been established as a cluster of technologies able to
produce more with less. While scientists around the globe advocate for new semantics that …