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

As autonomous vehicles (AV) are coming closer road admission, suitable methods to test AVs are in rising demand. Specifically, the behavior of an AV in specific traffic situations needs to be evaluated to address safety concerns. Model predictive control (MPC) is of particular interest for this purpose as the easy incorporation of constraints and the look-ahead of MPC allows to represent different traffic scenarios. This project aims to investigate suitable MPC appraoches to emulate a reactive environment for testing AVs in different scenarios.

Selected Publications

Selected Projects

  • Temperature controlled retinal laser treatment
    Led by: Prof. Dr.-Ing. Matthias Müller
    Team: Viktoria Kleyman
    Year: 2020
    Funding: Deutsche Forschungsgemeinschaft (DFG) - 430154635
    Duration: 2020 - 2021
  • Cont4Med - Estimation and control under limited information with application to biomedical systems
    Led by: Prof. Dr.-Ing. Matthias Müller
    Team: Mohammad Alsalti, Isabelle Krauss, Tobias Wolff, Dr. Victor G. Lopez Mejida, Dr.-Ing. Torsten Lilge
    Year: 2021
    Funding: This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 948679).
    Duration: 2021 - 2025
  • Multi-vehicle trajectory planning using MPC
    Led by: Prof. Dr.-Ing. Matthias Müller
    Team: Philipp Buschermöhle, Dr. Taouba Jouini, Dr.-Ing. Torsten Lilge
    Year: 2021
    Funding: Industrial Project
    Duration: 2021 - 2024
  • roboterfabrik
    Led by: Matthias Müller, Hans-Georg Jacob, Torsten Lilge
    Team: Marvin Becker, Marvin Stüde
    Year: 2023
    Funding: Region Hannover
    Duration: 2023-2025
    roboterfabrik roboterfabrik