Control Applications – Institute of Automatic Control

Biomedical Engineering

Current research activities in the field of biomedical engineering cover the following topics:

Modeling, analysis, and control of the human hypothalamic-pituitary-thyroid axis
Temperature control for retinal laser therapy
Human motor control and rehabilitation engineering

Robotics

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 are

Teleoperation of collaborative robots
Realtime path planning with guaranteed collision avoidance

Selected Publications

Wolff, T. M.; Veil, C.; Dietrich, J. W. & Müller, M. A. (2022): Mathematical Modeling of Thyroid Homeostasis: Implications for the Allan-Herndon-Dudley Syndrome, Submitted
DOI: 10.1101/2022.01.24.476744
Kleyman, V.; Schaller, M.; Mordmüller, M.; Wilson, M.; Brinkmann, R.; Worthmann, K. & Müller, M. A. (2022): State and parameter estimation for retinal laser treatment, Submitted
arXiv: 2203.12452
Wolff, T.; Dietrich, J. W. & Müller, M. A. (2022): Optimal hormone replacement therapy in hypothyroidism - a model predictive control approach, Frontiers in Endocrinology, 13: 884018
DOI: 10.3389/fendo.2022.884018
Becker, M.; Lilge, T.; Müller, M. A. & Haddadin, S. (2021): Circular Fields and Predictive Multi-Agents for Online Global Trajectory Planning, IEEE Robotics and Automation Letters, 2021, 6, 2618-2625
DOI: 10.1109/LRA.2021.3061997
Kleyman, V.; Gernandt, H.; Worthmann, K.; Abbas, H. S.; Brinkmann, R. & Müller, M. A. (2020): Modeling and parameter identification for real-time temperature controlled retinal laser therapies, at - Automatisierungstechnik, 2020, 68, 953 - 966
DOI: 10.1515/auto-2020-0074
Berberich, J.; Dietrich, J. W.; Hoermann, R. & Müller, M. A. (2018): Mathematical modeling of the pituitary-thyroid feedback loop: role of a TSH-T3-shunt and sensitivity analysis, Frontiers in Endocrinology, vol. 9, pp. 91.
DOI: 10.3389/fendo.2018.00091
Wiedemann, L. G.; Jayaneththi, V. R.; Kimpton, J.; Chan, A.; Müller, M. A.; Hogan, A.; Lim, E.; Wilson, N. C. & McDaid, A. J. (2018): Neuromuscular characterisation in Cerebral Palsy using hybrid Hill-type models on isometric contractions, Computers in Biology and Medicine, vol. 103, pp. 269-276.
DOI: 10.1016/j.compbiomed.2018.10.027
Köhler, J.; Müller, M. A.; Li, Na & Allgöwer, F. (2017): Real Time Economic Dispatch for power networks: A Distributed Economic Model Predictive Control Approach, Proc. 56th IEEE Conf. Decision and Control (CDC), Melbourne, Victoria, Australia, pp. 6340-6345.
DOI: 10.1109/CDC.2017.8264615

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
roboterfabrik

Led by: Matthias Müller, Mark Wielitzka, Torsten Lilge

Team: Marvin Becker, Vincent Modes

Year: 2021

Funding: Region Hannover

Duration: 2021-2022
Cont4Med - Estimation and control under limited information with application to biomedical systems

Led by: Prof. Dr.-Ing. Matthias Müller

Team: Mohammad Alsalti, Isabelle Krauss, 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