Control Applications

Control Applications

The main focus of our application-oriented research is on the use of methods from system and control theory in the context of biomedical engineering and systems medicine, but we also work in different areas such as robotics and autonomous driving.

Biomedical Engineering

We apply control theoretic concepts to biomedical systems in order to enhance the understanding of the underlying mechanisms and to improve treatment strategies. Research fields are the Pituitary-Thyroid feedback loop, retinal laser therapies, as well as human motor control and rehabilitation engineering.

Pituitary-Thyroid feedback loop

  • Modeling of hyperthyroidism/hypothyroidism
  • Development of model-based control strategies to improve medication



Retinal laser therapies

  • Development of suitable models of heat diffusion during laser treatment
  • Observer and control design for improved and more efficient treatment


Control theory is one of the central methods required for modern robotics, which therefore represents one of the main control applications at our institute. Current research topics include real-time path planning with guaranteed collision avoidance using

  • Circular Fields for obstacle avoidance
  • Multi-Agent Framework for environment exploration

Autonomous Driving

Model predictive control (MPC) is capable of incorporating constraints on the system and knowledge about the future behavior of the system or the environment in the control actions. This presents the opportunity to plan safe and foresighted trajectories. In our institute, we investigate among other things the verification of autonomous vehicles via traffic scenarios aided by MPC:

  • Multi-vehicle trajectory planning
  • Safety guarantees in presence of unknown traffic participants

Selected Publications

Selected Projects