Data-driven methods in control engineering
Overview
The goal of the junior research group "Data-Driven Methods in Control Engineering" is to explore the synergetic combination of model- and data-driven methods for control engineering tasks. For this purpose, model-driven methods are combined with machine learning to obtain hybrid methods and to achieve the highest possible performance in control design. The hybrid design methods developed in this way are to be combined and evaluated on various demonstrators. Industrial exploitation of the results is also planned through knowledge transfer in cooperation with the Fraunhofer Institute for Mechatronic Design IEM.
Key Facts
- Grant Number:
- Research profile area:
- Intelligente Technische Systeme
- Project type:
- Forschung
- Project duration:
- 01/2020 - 12/2024
- Funded by:
- Bundesministerium für Forschung, Technologie und Raumfahrt (BMFTR)
More Information
Funded by:
