Shortening product development cycles and fully customisable products pose major
challenges for production systems. These not only have to cope with an increased product …

Appropriate maintenance of industrial equipment keeps production systems in good health
and ensures the stability of production processes. In specific production sectors, such as the …

Chemical engineers rely on models for design, research, and daily decision-making, often
with potentially large financial and safety implications. Previous efforts a few decades ago to …

Many industrial processes utilize proportional-integral-derivative (PID) controllers due to
their practicality and often satisfactory performance. The proper controller parameters …

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 …

As the digital transformation of the bioprocess is progressing, several studies propose to
apply data‐based methods to obtain a substrate feeding strategy that minimizes the …

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 …

Microgrid technologies are exciting energy sources that are economically feasible for current
and future applications in light of increased energy demand and the depletion of traditional …

This paper presents a literature review of reinforcement learning (RL) and its applications to
process control and optimization. These applications were evaluated from a new …

Reinforcement learning (RL) for continuous state/action space systems has remained a
challenge for nonlinear multivariate dynamical systems even at a simulation level …