Institute for production technology and systems
Organisational unit: Institute
- Junior professorship for Measurement and Sensor Technology in Production Engineering
- Professorship for Manufacturing – Innovative Manufacturing
- Professorship for materials mechanics
- Professorship for Materials Technology, in particular of Magnesium Materials
- Professorship for Modelling and Simulation of Technical Systems and Processes
- Professorship for Product Development and Design
- Professorship for Production Management
- 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.
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.
- Published
Noninteracting optimal and adaptive torque control using an online parameter estimation with help of polynomials in EKF for a PMSM
Zwerger, T. & Mercorelli, P., 01.03.2025, In: ISA Transactions. 158, p. 452-467 16 p.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Noise Detection for Biosignals Using an Orthogonal Wavelet Packet Tree Denoising Algorithm
Schimmack, M. & Mercorelli, P., 01.03.2016, In: International Journal of Electronics and Telecommunications. 62, 1, p. 15-21 7 p.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
NNARX networks on didactic level system identification
Santos Neto, A. F., Santos, M. F., Santiago, A. C., Vidal, V. F. & Mercorelli, P., 11.05.2020, In: WSEAS Transactions on Systems and Control. 15, p. 184-190 7 p., 19.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
New ways in engineering education for a sustainable and smart future
Block, B. M. & Haus, B., 21.10.2020, 2020 IEEE Frontiers in Education Conference: FIE 2020 - Proceedings. Uppsala: IEEE - Institute of Electrical and Electronics Engineers Inc., 9 p. 9273900. (IEEE Frontiers in Education Conference; vol. 1539-4565).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
New method for assessing the repeatability of the measuring system for roughness measurements
Engler, C., Georgiadis, A., Meier, N. & Lange, D., 11.06.2024, In: International Journal of Metrology and Quality Engineering. 15, 15 p., 10.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
New concepts of extrusion dies to reduce the anisotropy of extruded profiles by means of additive manufacturing
Khalifa, N. B., Isakovic, J. & Bohlen, J., 2021, In: CIRP Annals. 70, 1, p. 231-234 4 p.Research output: Journal contributions › Journal articles › Research › peer-review
- E-pub ahead of print
Neural Network-Based Finite-Time Control for Stochastic Nonlinear Systems with Input Dead-Zone and Saturation
Kharrat, M., Krichen, M., Alhazmi, H. & Mercorelli, P., 11.01.2025, (E-pub ahead of print) In: Arabian Journal for Science and Engineering. 11 p.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Neural network-based estimation and compensation of friction for enhanced deep drawing process control
Thiery, S., Zein El Abdine, M., Heger, J. & Ben Khalifa, N., 15.05.2024, Material Forming ESAFORM 2024: The 27th International ESAFORM Conference on Material Forming – ESAFORM 2024 – held in Toulouse (France), at the Pierre Baudis Convention Center between 24-26th April, 2024. Araujo, A. C., Cantarel, A., Chabert, F., Korycki, A., Olivier, P. & Schmidt, F. (eds.). Millersville: MaterialsResearchForum LLC, p. 1462-1471 10 p. 162. (Materials Research Proceedings; vol. 41).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Neural network-based adaptive fault-tolerant control for strict-feedback nonlinear systems with input dead zone and saturation
Kharrat, M., Krichen, M., Alhazmi, H. & Mercorelli, P., 01.2025, In: Journal of the Franklin Institute. 362, 2, 21 p., 107471.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Neue Wege in der ingenieurwissenschaftlichen Bildung am Beispiel der Elektrotechnik
Block, B.-M., 2022, Produktions- und Dienstleistungsstrukturen der Zukunft im Fokus: Wege zu technischer Bildung : Referate der 15. Ingenieurpädagogischen Regionaltagung 2021 an der Hochschule Zittau/Görlitz vom 17.-19. Juni 2021. Kammasch, G., Keil, S. & Winkler, D. (eds.). Berlin: Ingenieur-Pädagogische Wissenschaftsgesellschaft, p. 177-182 6 p.Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review