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.
- 2024
- Published
Introduction
Mercorelli, P., Nemati, H. & Zhu, Q., 01.01.2024, Modeling, Identification, and Control for Cyber- Physical Systems Towards Industry 4.0. Elsevier, p. 327-330 4 p.Research output: Contributions to collected editions/works › Chapter › peer-review
- Published
Introduction
Mercorelli, P., Nemati, H. & Zhu, Q., 01.01.2024, Modeling, Identification, and Control for Cyber- Physical Systems Towards Industry 4.0. Elsevier, p. 15-17 3 p.Research output: Contributions to collected editions/works › Chapter › peer-review
- Published
Introduction
Mercorelli, P., Nemati, H. & Zhu, Q., 01.01.2024, Modeling, Identification, and Control for Cyber- Physical Systems Towards Industry 4.0. Elsevier, p. 243-245 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. Elsevier, p. 199-213 15 p.Research output: Contributions to collected editions/works › Chapter › peer-review
- Published
Modeling a modular omnidirectional AGV developmental platform with integrated suspension and power-plant
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. Elsevier, p. 151-168 18 p.Research output: Contributions to collected editions/works › Chapter › peer-review
- Published
Modeling, Identification, and Control for Cyber-Physical Systems Towards Industry 4.0
Mercorelli, P., Zhang, W., Nemati, H. & Zhang, Y. M., 01.01.2024, Modeling, Identification, and Control for Cyber- Physical Systems Towards Industry 4.0. Elsevier, p. 1-450 450 p.Research output: Contributions to collected editions/works › Chapter › peer-review
- Published
Multibody simulations of distributed flight arrays for Industry 4.0 applications
Yip, L., Nemati, H., Mercorelli, P. & Zhu, Q., 01.01.2024, Modeling, Identification, and Control for Cyber- Physical Systems Towards Industry 4.0. Elsevier, p. 247-278 32 p.Research output: Contributions to collected editions/works › Chapter › peer-review
- Published
Nonlinear control allocation applied on a QTR: the influence of the frequency variation
Ferreira dos Santos, M., de Mello Honório, L., Ferreira da Silva, M., Ferreira Vidal, V. & Mercorelli, P., 01.01.2024, Modeling, Identification, and Control for Cyber- Physical Systems Towards Industry 4.0. Elsevier, p. 311-325 15 p.Research output: Contributions to collected editions/works › Chapter › peer-review
- Published
Production of Mg-Mg2Si Composites
Neuhaus, J., Wiese, B. & Hort, N., 01.01.2024, Magnesium Technology 2024. Leonard, A., Barela, S., Neelameggham, N. R., Miller, V. M. & Tolnai, D. (eds.). Springer Science and Business Media Deutschland GmbH, p. 165-169 5 p. (Minerals, Metals and Materials Series).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Temperature control in Peltier cells comparing sliding mode control and PID controllers
Mironova, A., Mercorelli, P. & Zedler, A., 01.01.2024, Modeling, Identification, and Control for Cyber- Physical Systems Towards Industry 4.0. Elsevier, p. 41-77 37 p.Research output: Contributions to collected editions/works › Chapter › peer-review