Data-driven process control
Data-driven Process Control – Part 3: Controlling System Behaviour
This third and last part of the article series on data-driven process control provides an introduction to approaches for controlling systems. The focus is on the classic “model-predictive-control” scheme, which is combined with the results for system modeling from the second article to form a purely data-driven control strategy.
Data-driven Process Control – Part 2: Modelling System Behaviour
After the first article in this series dealt with the general basic building blocks of control systems, the second article is dedicated to modeling the behavior of systems. The focus here is on differentiating between different types of modeling. The main part of the article introduces a special data-driven approach that has recently attracted growing scientific interest.
Data-driven process control – Part 1
The automatic control of complex systems poses a growing theoretical and technical challenge. Regardless of whether these systems are biological or chemical reactors, wind turbines, power grids, airplanes or even manufacturing systems, the questions to be answered are always comparable. This upcoming series of articles will give an introduction to this interesting field and, in the first part, will cover the general basic components of control systems using a production example.