Dr.-Ing. Michael Maiworm
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Postdoctoral Researcher
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Room: |
G07 - 207 |
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Phone: |
(+49) 0391-67 58590 |
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Fax: |
(+49) 0391-67 41191 |
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Email: |
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Research Interests
My research interests are focused on:
- (Robust) Model Predictive Control
- Extremum Seeking Control
- System modeling using Gaussian Processes
- Controlled molecule manipulation with atomic force microscopes (AFM)
Current Projects and Collaborations
- Control of Scanning Quantum Dot Microscopy (in collaboration with the Jülich Research Center)
- Controlled molecule manipulation with AFM (in collaboration with the Jülich Research Center)
Past Projects
- Diesel engine control (emission reduction)
Publications
| [2] | M. Maiworm, D. Limón, and R. Findeisen. Online learning-based model predictive control with Gaussian process models and stability guarantees. International Journal of Robust and Nonlinear Control, pages 1--28, 2021. [ DOI ] |
| [1] | C. Wagner, M. F. Green, M. Maiworm, P. Leinen, T. Esat, N. Ferri, N. Friedrich, R. Findeisen, A. Tkatchenko, R. Temirov, and F. S. Tautz. Quantitative imaging of electric surface potentials with single-atom sensitivity. Nature materials, 2019. [ DOI ] |
| [7] | C. Eckel, M. Maiworm, and R. Findeisen. Optimal operation and control of towing kites using online and offline Gaussian process learning supported model predictive control. In American Control Conference (ACC), pages 2637--2643, Atlanta, USA, 2022. IEEE. |
| [6] | 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. |
| [5] | 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. |
| [4] | M. Maiworm, C. Wagner, R. Temirov, F. S. Tautz, and R. Findeisen. Two-degree-of-freedom control combining machine learning and extremum seeking for fast scanning quantum dot microscopy. In American Control Conference (ACC), pages 4360--4366, Milwaukee, USA, 2018. IEEE. |
| [3] | M. Maiworm, D. Limón, J. M. Manzano, and R. Findeisen. Stability of Gaussian process learning based output feedback model predictive control. In 6th IFAC Conference on Nonlinear Model Predictive Control (NMPC), pages 551--557, Madison, USA, 2018. IFAC. |
| [2] | R. Findeisen, M. A. Grover, C. Wagner, M. Maiworm, R. Temirov, F. S. Tautz, M. V. Salapaka, S. Salapaka, R. D. Braatz, and S. O. R. Moheimani. Control on a molecular scale: A perspective. In American Control Conference (ACC), pages 3069--3082, Boston, USA, 2016. IEEE. |
| [1] | M. Maiworm, T. Bäthge, and R. Findeisen. Scenario-based model predictive control: Recursive feasibility and stability. In Proceedings of the 9th International Symposium on Advanced Control of Chemical Processes (ADCHEM), pages 50--56, Whistler, Canada, 2015. IFAC. |
Miscellaneous
- M. Maiworm. Gaussian Processes in Control - Model Predictive Control with Guarantees and Control of Scanning Quantum Dot Microscopy. Dissertation, Institute for Automation Engineering, University of Magdeburg, 2021.
- M. Maiworm. Recursive Feasibility and Stability of Multi-Stage Nonlinear Model Predictive Control. Master thesis, Institute for Automation Engineering, University of Magdeburg, 2014.
- M. Maiworm. Signal Estimation for Vehicle Dynamics. Master thesis, University of Applied Sciences Osnabrück, 2012.
- Pressemitteilung: Ingenieure der Uni Magdeburg revolutionieren molekulare Mikroskope
Teaching Activity
Courses
- Assistant for Assistant for Regelungstechnik (Control Engineering) (WS 2012/2013 -- WS 2019/2020)
- Assistant for Nonlinear Control (SS 2014 -- SS 2019)
Student Projects
Supervisor of the following student projects:- Parameterschätzung und Entwurf einer Modellprädiktiven Regelung eines autonomen Modellfahrzeuges (H. Heinemann, A. Pieper)
- Systemidentifikation eines Rasterkraftmikroskops (M. Hoppe, B. Karg, M. Oweisi)
- Gaußsche Regression periodischer Prozesse (S. Fahlbusch)
- Untersuchungen zur Einsetzbarkeit einer Extremwertregelung zur Pfadgenerierung für molekulare Manipulationen (J. Christen)
- Implementierung eines Gaußschen Prozessmodells mit NARX-Struktur innerhalb einer modellprädiktiven Kontaktkraftregelung (R. Jordanowa)
- Path Generation For Molecular Manipulation Using Model Predictive Control (F. Häusser)
Bachelor Theses
Supervisor of the following bachelor theses:- Performanceanalyse einer Extremwertregelung für die Mikroskopietechnik SQDM (V. Ebert)
- Analyse und Bewertung der Anwendbarkeit von Gaußschen Prozessmodellen auf ein Kontaktszenario in der Robotik (R. Jordanowa)
- Beschleunigung der Mikroskopietechnik Scanning Quantum Dot Microscopy durch Identifikation eines Oszillatormodells (C. Weidele)
- Trajektorienoptimierung für Molekulare Manipulation (F. Häusser)
- Analyse und Bewertung des Konzepts der Phasenauswertung für die Mikroskopietechnik SQDM (E. Otto)
Master Theses
Supervisor of the following master theses:- Konzeptentwicklung zur Beschleunigung der Mikroskopietechnik SQDM (C. Müller)
- Modellprädiktive Regelung eines Leichtbauroboters zur Bewegungskompensation (S. Fahlbusch)
- Distributed model predictive control applied to a building network (I. Kudryartsev)
- Two-degree-of-freedom control for distance-to-ground tracking of airplanes (R. Valeev)
- Sparse Online Gaussian Process Regression for Two-Degree-Of-Freedom Control of Scanning Quantum Dot Microscopy (M. Pfefferkorn)
- Control of Towing Kites via Recursive Gaussian Process Model Predictive Control (C. Eckel)
Thesis and Student Projects
- For Bachelor and Master Theses check the projects I am responsible for.
- a brief description of who you are: name, study program
- which project you are interested in and time planned for developing the project
CV
In 2009 and 2012 I received a B.Sc. and M.Sc. in Electrical Engineering from the University of Applied Sciences Osnabrück and in 2014 a M.Sc. in Engineering Cybernetics from the Otto-von-Guericke University Magdeburg. In 2021 I finished my PhD in Rolf Findeisen's Group for Systems Theory and Automatic Control at the Institute for Automation Engineering, Otto-von-Guericke University Magdeburg.
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