3 PhD Positions at Delft University of Technology
These 3 PhD projects are part of the European ERC Advanced Grant project CLariNet - a novel control paradigm for large-scale hybrid networks. The goal of CLariNet is to create a completely new paradigm for control of large-scale networks with hybrid dynamics by bridging the gap between optimization-based control and learning-based control. The breakthrough idea is to bridge that gap by using piecewise affine models and to unite the optimality of optimization-based control with the on-line tractability of learning-based control.
The 3 projects all have a strong fundamental flavour. In addition, applications for the case studies include multi-modal transportation networks and smart multi-energy networks.
Topic 1: Learning-based control for hybrid systems with constraints
Topic 2: Integrated optimization-based and learning-based control for hybrid systems
Topic 3: Framework for optimization-based and learning-based control of large-scale networks with hybrid dynamics
More information on this position can be obtained from Prof. Bart De Schutter, email: b.deschutter at tudelft.nl.
For information about the selection procedure, please contact Irina Bruckner, HR Advisor, email: application-3mE@tudelft.nl.
Deadline 1 Jun