The research at the Chair of Automatic Control focuses on the methodological development and practical applicability of modern control-oriented methods. The research domains thereby can be divided into control and optimization and discrete event systems. An expertise of the chair is to transfer research into practice in various application domains.
Algorithms of artificial intelligence and machine learning are of increasing importance for control engineering. At the Chair of Automatic Control, research is mainly directed towards the extension of control methods by learning components.
The research group FGDES develops methods for the analysis and synthesis of discrete-event systems with a particular focus on modular and/or hierarchical control architectures. Here, discrete-event systems are dynamical systems with a finite-range state variable. Prototypical application domains are so called “men made systems”, e.g., for automated manufacturing or logistics, which by construction can be adequately represented by discrete-event models.
Mechatronic systems, which comprise both mechanical and electrical parts, represent an important application field of control engineering. Due to the limited computing power of the used ECUs, the application of modern control methods in these systems is associated with particular challenges. The Chair of Automatic Control researches control methods for, for example, electric drives, automatic transmissions and vehicles.