M.Sc. Maik Pfefferkorn
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Ph.D. Student and Research Assistant
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Room: |
G07 - 209 |
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Phone: |
(+49) 0391-67 52212 |
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Email: |
maik.pfefferkorn@ovgu.de |
Research Interests
My research interests are focused on:
- Machine Learning-supported (Model Predictive) Control (MPC)
- Gaussian Processes (GPs) for Systems Modeling
- Uncertainty Propagation and Safety Guarantees in GP-based MPC
- Control of Scanning Quantum Dot Microscopy
Publications
| [6] | J. Bethge, M. Pfefferkorn, A. Rose, J. Peters, and R. Findeisen. Model predictive control with gaussian-process-supported dynamical constraints for autonomous In Proceedings of IFAC World Congress, 2023. accepted. |
| [5] | P. Holzmann, J. Matschek, M. Pfefferkorn, and R. Findeisen. Learning secure corridors for model predictive path following control of autonomous systems in cluttered environments. In Proceedings of the European Control Conference (ECC), pages 1772--1777, 2022. |
| [4] | H. H. Nguyen, M. Pfefferkorn, and R. Findeisen. High-probability stable Gaussian process-supported model predictive control for Lur’e systems. In Proceedings of European Control Conference (ECC), London, UK, 2022. |
| [3] | M. Pfefferkorn, M. Maiworm, and R. Findeisen. Exact multiple-step predictions in Gaussian process-based model predictive control: Observations, possibilities, and challenges. In American Control Conference (ACC), pages 2829--2836, Atlanta, USA, 2022. IEEE. |
| [2] | M. Pfefferkorn, P. Holzmann, J. Matschek, and R. Findeisen. Safe corridor learning for model predictive path following control. In Proceedings of the 25th International Symposium on Mathematics of Networks and Systems (MTNS), 2022. (accepted). |
| [1] | M. Pfefferkorn, M. Maiworm, C. Wagner, F. S. Tautz, and R. Findeisen. Fusing online Gaussian process-based learning and control for scanning quantum dot microscopy. In 59th Conference on Decision and Control (CDC), pages 5525--5531, Jeju Island, Korea, 2020. IEEE. |
Miscellaneous
- M. Pfefferkorn. Sparse Online Gaussian Process Regression for Two-Degree-Of-Freedom Control of Scanning Quantum Dot Microscopy. Master's thesis, Institute for Automation Engineering, University of Magdeburg. 2020.
- M. Pfefferkorn. Bedeutung der Deubiquitinylase- und E3-Ligase-Aktivität von TNFAIP3 (A20) für die Helicobacter pylori-abhängige NF-κB-Aktivität. Bachelor's thesis, Institute for Experimental Internal Medicine, University of Magdeburg. 2018.
Teaching Activity
Courses
- Assistant for Model Predictive Control and Machine Learning (Winter Semester 2021/2022)
- Assistant for Machine Learning, Dynamical Systems, and Control (Summer Semester 2020, 2021)
- Assistant for Introduction to Cybernetics (Winter Semester 2020/2021)
Student Projects
Supervisor or co-supervisor of the following student projects:- Formal Verification of a Robotic Arm using Hybrid Model Checking (M. Dittmer)
- Iterative Model Improvement Learning Control for Robot Manipulators (M. Sekundo, M. Leinberger, L. Song, C. Hsu)
Thesis and Student Projects
If you are interested in doing your thesis on
- Machine learning-supported (model predictive) control, or
- Control of scanning quantum dot microscopy,
then contact me by e-mail giving the following information:
- a brief description of who you are: name, study program, prerequisites
- which project/topic you are interested in
- time planned for developing the project/thesis
CV
- Since 06/2020: Regular fellow of the graduate program Mathematical Complexity Reduction, Otto-von-Guericke University Magdeburg (Germany)
- Since 03/2020: Ph.D. student and research assistant at the Chair for Systems Theory and Automatic Control (Prof. Rolf Findeisen), Institute for Automation Engineering, Otto-von-Guericke University Magdeburg (Germany)
- 01/2020: Master's degree (M.Sc.) in Biosystems Engineering from the Otto-von-Guericke University Magdeburg (Germany)
- 05/2018: Bachelor's degree (B.Sc.) in Biosystems Engineering from the Otto-von-Guericke University Magdeburg (Germany)