Context: Predictive control is one of the industrially most successful advanced control methods. Driven by different applications, one focal point of ongoing research is the consideration of stochastic uncertainties. In energy systems, non-Gaussian uncertainty often arises from modeling the uncertainty surrounding volatile renewables and consumption behavior, while in autonomous systems stochastic models are used to capture system motion. Moreover, data-based modeling introduces stochastic uncertainties into the control loop.
Recent research has brought significant progress in this area, but at the same time revealed crucial open questions. This workshop will review trends and recent developments and will thus provide a platform fostering discussion between speakers and participants on different career levels.
Program
Besides attending the talks of the invited speakers from leading European research groups, we warmly invite you to contribute to our poster session and share your research with the other attendees.
Participation from underrepresented communities and countries is particularly encouraged. Details on student support opportunities are available through the EUCA Student Travel Support Program.
Poster Session
Participation in the workshop poster session requires a separate registration via the form below.
