Organisation profile

The members of the Institute for Production Technology and Systems (IPTS) carry out work on a wide range of engineering-related research questions.
When it comes to subjects, the members of the Institute concentrate on the topics of supply chain management and production management, as well as on measurement, control, plasma, production and material technology. Within these fields, we aim to answer current research questions through both experimental work and the use of digital modelling. Our overarching goal here is to provide better solution strategies for complex problems within the field of engineering.

Main research areas

The members of the department investigate this field from both a production management and a technical perspective.

Cooperations with companies and external research institutes play an important role in the IPTS work. We collaborate with our industry partners to create practically-oriented solutions to problems within industrial practice. This allows us to transfer our research findings directly into industrial companies, thus helping to improve our partners' competitiveness. A particular highlight of our work is the strong partnership which exists between the IPTS and the Helmholtz-Zentrum Geesthacht Centre for Materials and Coastal Research, which is formally expressed in the form of two shared professorships at the IPTS.

  1. Published

    A hybrid hydraulic piezo actuator modeling and hysteresis effect identification for control in camless internal combustion engines

    Mercorelli, P. & Werner, N., 2013, 2013 Proceedings of International Conference on Modelling, Identification and Control, ICMIC 2013. IEEE - Institute of Electrical and Electronics Engineers Inc., p. 187-192 6 p. 6642172. (2013 Proceedings of International Conference on Modelling, Identification and Control, ICMIC 2013).

    Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

  2. Published

    A hysteresis hybrid extended kalman filter as an observer for sensorless valve control in camless internal combustion engines

    Mercorelli, P., 01.01.2012, In: IEEE Transactions on Industry Applications. 48, 6, p. 1940-1949 10 p., 6338291.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  3. Published

    A Kalman Filter for sensorless control of a piezo actuator for camless internal combustion engines

    Hodzic, K., Mercorelli, P. & Werner, N., 2014, 2014 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2014. IEEE - Institute of Electrical and Electronics Engineers Inc., p. 1225-1230 6 p. 6871957. (2014 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2014).

    Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

  4. Published

    A Kinetic Approach to the study of Ideal Multipole Resonance Probe

    Gong, J., Wilczek, S., Oberrath, J., Eremin, D., Friedrichs, M. & Brinkmann, R. P., 2017, In: Bulletin of the American Physical Society. 62, 10, p. 6 1 p., DT2.00002.

    Research output: Journal contributionsConference abstract in journalResearchpeer-review

  5. Published

    A Lean Convolutional Neural Network for Vehicle Classification

    Sanchez-Castro, J. J., Rodriguez-Quinonez, J. C., Ramirez-Hernandez, L. R., Galaviz, G., Hernandez-Balbuena, D., Trujillo-Hernandez, G., Flores-Fuentes, W., Mercorelli, P., Hernandez-Perdomo, W., Sergiyenko, O. & Gonzalez-Navarro, F. F., 01.06.2020, 2020 IEEE 29th International Symposium on Industrial Electronics (ISIE): 17 - 19 June, 2020, Delft, Netherlands, Proceedings. Piscataway: IEEE - Institute of Electrical and Electronics Engineers Inc., p. 1365-1369 5 p. 9152274. (IEEE International Symposium on Industrial Electronics (ISIE); vol. 2020).

    Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

  6. Published

    A learning factory approach on machine learning in production companies: How a learning factory approach can help to increase the understanding of the application of machine learning on production planning and control tasks

    Rokoss, A., Kramer, K. & Schmidt, M., 2021, Competence development and learning assistance systems for the data-driven future. Sihn, W. & Schlund, S. (eds.). Berlin: GITO mbH Verlag, p. 125-142 18 p. (Schriftenreihe der Wissenschaftlichen Gesellschaft für Arbeits- und Betriebsorganisation (WGAB) e.V.).

    Research output: Contributions to collected editions/worksContributions to collected editions/anthologiesResearchpeer-review

  7. Published

    A luenberger observer for a quasi-static disturbance estimation in linear time invariant systems

    Mercorelli, P., 15.12.2015, In: International Journal of Pure and Applied Mathematics. 105, 3, p. 543-547 5 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  8. Published

    A lyapunov approach in the derivative approximation using a dynamic system

    Mercorelli, P., 15.12.2015, In: International Journal of Pure and Applied Mathematics. 105, 3, p. 523-528 6 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  9. Published

    A Lyapunov Approach to Set the Parameters of a PI-Controller to Minimise Velocity Oscillations in a Permanent Magnet Synchronous Motor Using Chopper Control for Electrical Vehicles

    Mercorelli, P., 2013, Recent Advances in Systems, Control and Informatics. Europment, p. 151-155 5 p.

    Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

  10. Published

    A Lyapunov-based Adaptive Control Law for an Electromagnetic Actuator

    Mercorelli, P., 01.01.2013, In: AASRI Procedia. 4, p. 96-103 8 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

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