Institute for production technology and systems
Organisational unit: Institute
- Professorship for Engineering, in particular Modelling and Simulation of Technical Systems and Processes
- Professorship for Machine Tools
- Professorship for Manufacturing – Innovative Manufacturing
- Professorship for materials mechanics
- Professorship for Materials Technology, in particular of Magnesium Materials
- Professorship for Process Measurement Technology and Intelligent Systems
- Professorship for Product Development and Design
- Professorship of Control and Drive Systems
- Professorship of Production Management
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.
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Some model properties to control a permanent magnet machine using a controlled invariant subspace
Mercorelli, P., Sergiyenko, O., Hernandez-Balbuena, D., Rodriguez-Quiñonez, J., Flores-Fuentes, W. & Basaca-Preciado, L., 01.02.2015, In: IFAC-PapersOnLine. 48, 1, p. 366-371 6 p.Research output: Journal contributions › Conference article in journal › Research › peer-review
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Solar-powered radiotherapy
Müller-Polyzou, R. & Wirtz, H., 01.06.2022, Approaching Global Oncology: The win-win model. Elzawawy, A. & Ngwa, W. (eds.). Bristol: IOP Publishing Ltd, p. 1-8 8 p. (IOP series in global health and radiation oncology).Research output: Contributions to collected editions/works › Contributions to collected editions/anthologies › Research › peer-review
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Soft Optimal Computing to Identify Surface Roughness in Manufacturing Using a Gaussian and a Trigonometric Regressor
Haus, B., Mercorelli, P., Yap, J. S. & Schäfer, L., 2022, Soft Computing and its Engineering Applications: Third International Conference, icSoftComp 2021, Changa, Anand, India, December 10–11, 2021, revised selected papers. Patel, K. K., Doctor, G., Patel, A. & Lingras, P. (eds.). Cham: Springer Nature Switzerland AG, p. 41-50 10 p. (Communications in Computer and Information Science; vol. 1572 CCIS).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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Soft Optimal Computing Methods to Identify Surface Roughness in Manufacturing Using a Monotonic Regressor
Haus, B., Yap, J. S., Schaefer, L. & Mercorelli, P., 2022, Soft Computing: Theories and Applications - Proceedings of SoCTA 2021. Kumar, R., Ahn, C. W., Sharma, T. K., Verma, O. P. & Agarwal, A. (eds.). Cham: Springer Science and Business Media Deutschland GmbH, p. 527-537 11 p. (Lecture Notes in Networks and Systems; vol. 425).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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Smarte Anpassung von Presslinienparametern: Bildgebende Sensorik und maschinelles Lernen für robustere Blechumformprozesse im Automobilbau
Heger, J., Voß, T. & Selent, M., 04.2018, In: Industrie 4.0 Management. 34, 4, p. 53-56 4 p.Research output: Journal contributions › Journal articles › Research › peer-review
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Smart Devices Evaluation and Dynamic Cognitive Assistance System for Repair Processes in Production
Müller, P. D. R., Hörauf, D. L., Bashir, A., Speicher, C., Vette-Steinkamp, M. & Müller-Polyzou, R., 2020, Advances in Human Factors and Systems Interaction: Proceedings of the AHFE 2019 International Conference on Human Factors and Systems Interaction, July 24-28, 2019, Washington D.C., USA. Nunes, I. L. (ed.). 1 ed. Cham: Springer International Publishing AG, p. 65-77 13 p. (Advances in Intelligent Systems and Computing; vol. 959).Research output: Contributions to collected editions/works › Article in conference proceedings › Transfer › peer-review
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Sliding Mode Control for a Vertical Dynamics in the Presence of Nonlinear Friction
Ferch, T. & Mercorelli, P., 2019, In: WSEAS Transactions on Circuits and Systems. 18, p. 102-112 11 p., 17.Research output: Journal contributions › Journal articles › Research › peer-review
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Sliding Mode Control and Observer-Based Disturbance Compensation for a Permanent Magnet Linear Motor
Aschemann, H., Haus, B. & Mercorelli, P., 09.08.2018, 2018 Annual American Control Conference (ACC) . Piscataway: IEEE - Institute of Electrical and Electronics Engineers Inc., p. 4141-4146 6 p. 8431787Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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Sliding-Mode-Based Input-Output Linearization of a Peltier Element for Ice Clamping Using a State and Disturbance Observer
van Rossum, F., Haus, B., Mercorelli, P. & Aschemann, H., 2023, 27th International Conference on System Theory, Control and Computing, ICSTCC 2023 - Proceedings. Precup, R-E. (ed.). Institute of Electrical and Electronics Engineers Inc., p. 70-75 6 p. (International Conference on System Theory, Control and Computing, ICSTCC 2023 - Proceedings).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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Sliding mode and model predictive control for inverse pendulum
Schwab, K. C., Schräder, L., Mercorelli, P. & Lassen, J. T., 01.01.2019, In: WSEAS Transactions on Systems and Control. 14, p. 190-195 6 p., 23.Research output: Journal contributions › Journal articles › Research › peer-review