Systems Theory and Automatic Control

Dr.-Ing. Michael Maiworm

Michael Maiworm

Postdoctoral Researcher

Institute for Automation Engineering (IFAT)
Laboratory for Systems Theory and Automatic Control
Otto-von-Guericke University Magdeburg
39106 Magdeburg - Germany


G07 - 207


(+49) 0391-67 58590


(+49) 0391-67 41191


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

Past Projects

  • Diesel engine control (emission reduction)


Journals Articles and Book Chapters (all peer reviewed)

[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 ]

Proceedings (peer reviewed)

[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.


  • 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


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.
If you find any of those projects interesting, then send me a short e-mail with the following information:
- a brief description of who you are: name, study program
- which project you are interested in and time planned for developing the project


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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