The group inspire IfA deals with the development of advanced control methods, in combination with optimal experimantal design and data driven modeling.
In manufacturing, often the process at hand is complex and it is difficult to capture all relevant aspects with first principles models. Machine learning techniques help to obtain a more complete and flexible picture of the particular system/process. The combination of data-based techniques with physical models and optimization provides the required flexibility in controlling systems with big uncertainties and changing configurations.