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.
- Conference contribution › Research › Peer-reviewed
- Published
Case Study: Application of NNARX Networks in the Identification of a Small-Scale Level System
Santos Neto, A. F. D., Santos, M. F. D., Santiago, A. C., Vidal, V. F. & Mercorelli, P., 2019, 2019 3rd European Conference on Electrical Engineering and Computer Science, EECS 2019: Athens, Greece 28-30 December 2019, Proceedings . Piscataway: IEEE - Institute of Electrical and Electronics Engineers Inc., p. 15-18 4 p. 9257574Research output: Contributions to collected editions/works › Conference contribution › peer-review
- Published
PI and Fuzzy Controllers for Non-Linear Systems: A Case Study
Machado, C. M., Santos, M. F. D., Carvalho, J. R. D. & Mercorelli, P., 2019, 2019 3rd European Conference on Electrical Engineering and Computer Science, EECS 2019: Athens, Greece 28-30 December 2019, Proceedings. Piscataway: IEEE - Institute of Electrical and Electronics Engineers Inc., p. 11-14 4 p. 9257571Research output: Contributions to collected editions/works › Conference contribution › peer-review
- Chapter › Research › Peer-reviewed
- Published
Advanced ice-clamping control in the context of Industry 4.0
Mironova, A., Mercorelli, P. & Zedler, A., 01.01.2024, Modeling, Identification, and Control for Cyber- Physical Systems Towards Industry 4.0. Mercorelli, P., Zhang, W., Nemati, H. & Zhang, Y. (eds.). Academic Press Inc., p. 19-40 22 p.Research output: Contributions to collected editions/works › Chapter › peer-review
- Published
A Robust Approximated Derivative Action of a PID Regulator to be Applied in a Permanent Magnet Synchronous Motor Control
Mercorelli, P., 01.01.2017, Robust Control: Systems, Theory and Analysis. Bennett, S. (ed.). New York: Nova Science Publishers, Inc., p. 103-112 10 p. 4. (Mechanical Engineering Theory and Applications).Research output: Contributions to collected editions/works › Chapter › peer-review
- Published
Complexity cost management
Schaffer, J. & Schleich, H-H., 01.01.2008, Build To Order: The Road to the 5-Day Car. Parry, G. & Graves, A. (eds.). Guildford, Surrey [u.a.]: Springer, p. 155-174 20 p.Research output: Contributions to collected editions/works › Chapter › peer-review
- Published
Control system strategy of a modular omnidirectional AGV
Macfarlane, A. B. S., van Niekerk, T., Becker, U. & Mercorelli, P., 01.01.2024, Modeling, Identification, and Control for Cyber- Physical Systems Towards Industry 4.0. Marcorelli, P., Zhang, W., Nemati, H. & Zhang, Y. (eds.). Academic Press Inc., p. 169-197 29 p.Research output: Contributions to collected editions/works › Chapter › peer-review
- Published
Industry 4.0 more than a challenge in modeling, identification, and control for cyber-physical systems
Mercorelli, P., Nemati, H. & Zhu, Q., 01.01.2024, Modeling, Identification, and Control for Cyber- Physical Systems Towards Industry 4.0. Mercorelli, P., Zhang, W., Nemati, H. & Zhang, Y. (eds.). Elsevier, p. 1-14 14 p.Research output: Contributions to collected editions/works › Chapter › peer-review
- Published
Logistical Potentials of Load Balancing via the Build-up and Reduction of Stock
Heuer, T., Maier, J. T., Busse, T. D., Schmidt, M. & Nyhuis, P., 2021, 2021 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2021: 13 - 16 December 2021. Piscataway: IEEE - Institute of Electrical and Electronics Engineers Inc., p. 264-269 6 p. (2021 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2021).Research output: Contributions to collected editions/works › Chapter › peer-review
- Published
Manufacturing as a challenge in Industry 4.0 process
Mercorelli, P., Nemati, H. & Zhu, Q., 01.01.2024, Modeling, Identification, and Control for Cyber- Physical Systems Towards Industry 4.0. Mercorelli, P., Zhang, W., Nemati, H. & Zhang, Y. (eds.). Academic Press Inc., p. 15-17 3 p.Research output: Contributions to collected editions/works › Chapter › peer-review
- Published
Mecanum wheel slip detection model implemented on velocity-controlled drives
Gilfillan, C. L., van Niekerk, T., Mercorelli, P. & Sergiyenko, O., 01.01.2024, Modeling, Identification, and Control for Cyber- Physical Systems Towards Industry 4.0. Mercorelli, P., Zhang, W., Nemati, H. & Zhang, Y. (eds.). Elsevier, p. 199-213 15 p.Research output: Contributions to collected editions/works › Chapter › peer-review