Systems Theory and Automatic Control

Johannes Pohlodek

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


G28 - 311


(+49) 0391-67 57193



Submitted Journals Articles

[1] J. Pohlodek, B. Morabito, C. Schlauch, P. Zometa, and R. Findeisen. Flexible development and evaluation of machine-learning-supported optimal control and estimation methods via HILO-MPC. 2022. Preprint available. [ DOI ]

Proceedings (peer reviewed)

[3] B. Morabito, J. Pohlodek, J. Matschek, A. Savchenko, L. Carius, and R. Findeisen. Towards risk-aware machine learning supported model predictive control and open-loop optimization for repetitive processes. IFAC-PapersOnLine, 54(6):321--328, 2021. 7th IFAC Conference on Nonlinear Model Predictive Control NMPC 2021. [ DOI | http ]
[2] J. Pohlodek, A. Rose, B. Morabito, L. Carius, and R. Findeisen. Data-driven Metabolic Network Reduction for Multiple Modes Considering Uncertain Measurements. IFAC-PapersOnLine, 53(2):16866--16871, 2020. 21st IFAC World Congress. [ DOI ]
[1] L. Carius, J. Pohlodek, B. Morabito, A. Franz, M. Mangold, R. Findeisen, and A. Kienle. Model-based state estimation utilizing a hybrid cybernetic model. In Advanced Control of Chemical Processes (AdChem), July 2018.

Submitted Proceedings (accepted)

[2] S. Espinel-Rios, B. Morabito, J. Pohlodek, K. Bettenbrock, S. Klamt, and R. Findeisen. Optimal control and dynamic modulation of the ATPase gene expression for enforced ATP wasting in batch fermentations. IFAC-PapersOnLine (to appear), 2022.
[1] B. Morabito, J. Pohlodek, L. Kranert, S. Espinel-Rios, and R. Findeisen. Efficient and simple gaussian process supported stochastic model predictive control for bioreactors using hilo-mpc. Submitted to DYCOPS 2022.

Teaching Activity

Thesis and Student Projects

Master Theses

Supervisor of the following master theses:
  • Economic Model Predictive Control and Real Time Optimization for a Two Bioreactors System using Machine Learning for Price Prediction (Siddharth Patel)

Bachelor Theses

Supervisor of the following bachelor theses:
  • Evaluation of Metabolic Modeling Methods for the Design of Intelligent Process Control Strategies (Alexander Rose)

Student Projects

Supervisor of the following student projects:
  • Programming an Arduino for Measuring the Concentration of Ethanol in the Exhaust of a Bioreactor (Umang Shioya)
  • Literature Review on Machine Learning Methods for Bioreactor Modeling and Control (Siddharth Patel)
  • Implementierung einer Driftkorrektur für die Lichtquelle eines portablen UV/Vis-Spektrophotometers zur Verbesserung der Online Biomasse-Messungen in einem Bioreaktor (Maximilian Stang)
For Bachelor and Master Theses check the projects I am responsible for. Go to Top