My current research interests are focused on optimization based control. In particular, I am interested in:
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J. Matschek, T. Gonschorek, M. Hanses, N. Elkmann, F. Ortmeier, and
R. Findeisen.
Learning references with Gaussian processes in model predictive
control applied to robot assisted surgery.
In Proceedings of European Control Conference (ECC), pages
362--367, 2020.
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[11]
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J. Matschek and R. Findeisen.
Learning supported Model Predictive Control for Tracking of Periodic
References.
In Proceedings of Machine Learning Research, volume 120, pages
511--520, 2020.
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[10]
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J. Matschek, R. Jordanowa, and R. Findeisen.
Direct Robotic Force Control with Learning Supported Model
Predictive Control.
In Proceedings of Conference on Control Technology and
Applications (CCTA), pages 8--13, 2020.
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[9]
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H. H. Nguyen, J. Matschek, T. Zieger, A. Savchenko, N. Noroozi, and
R. Findeisen.
Towards nominal stability certification of deep learning-based
controllers.
In 2020 American Control Conference (ACC), 2020.
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[8]
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M. Ibrahim, J. Matschek, B. Morabito, and R. Findeisen.
Improved area covering in dynamic environments by nonlinear model
predictive path following control.
In Proceedings of 8th IFAC Symposium on Mechatronic Systems
(MECHATRONICS 2019), Vienna, Austria, 2019.
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[7]
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M. Ibrahim, J. Matschek, B. Morabito, and R. Findeisen.
Hierarchical model predictive control for autonomous vehicle area
coverage.
In Proceedings of 21st IFAC Symposium on Automatic Control in
Aerospace (ACA 2019), Cranfield, UK, 2019.
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[6]
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J. Bethge, B. Morabito, J. Matschek, and R. Findeisen.
Multi-mode learning supported model predictive control with
guarantees.
In Proceedings of 6th Nonlinear Model Predictive Control
Conference (NMPC), pages 616--621, Madison, United States, 2018.
[ DOI ]
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[5]
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K. J. Kazim, J. Bethge, J. Matschek, and R. Findeisen.
Combined predictive path following and admittance control.
In Proceedings of American Control Conference (ACC), pages
3153--3158, Milwaukee, United States, 2018.
[ DOI ]
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[4]
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J. Matschek, J. Bethge, P. Zometa, and R. Findeisen.
Force feedback and path following using predictive control: Concept
and application to a lightweight robot.
In Proceedings of 19th IFAC World Congress Toulouse, pages
10243--10248, Toulouse, France, 2017.
[ DOI ]
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[3]
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J. Matschek, A. Himmel, F. von Haeseler, E. Bullinger, M. Skalej, and
R. Findeisen.
Mathematical modelling and sensitivity analysis of multipolar
radiofrequency ablation in the spine.
In Proceedings of 9th IFAC Symposium on Biological and Medical
Systems (BMS), pages 243--248, Berlin, Germany, 2015.
[ DOI ]
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[2]
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J. Matschek, F. von Haeseler, and R. Findeisen.
Mathematical modeling of mono- and multipolar radio frequency
ablation in the spine.
In Proceedings of 1st Conference on Image Guided Interventions
(IGIC), pages 69--70, Magdeburg, Germany, 2014.
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[1]
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T. Faulwasser, J. Matschek, P. Zometa, and R. Findeisen.
Predictive path-following control: Concept and implementation for an
industrial robot.
In Proc. IEEE Conf. on Cont. Appl., CCA'13, pages 128--133,
Hyderabad, India, 2013.
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