Extended abstract in invited session @ MTNS 2024
- conferences
The 26th International Symposium on Mathematical Theory of Networks and Systems (MTNS) took place in Cambridge. Manuel presented an extended abstract titled “Towards a unifying framework for data-driven predictive control with quadratic regularization” in an invited session on “Learning and Optimization in Stochastic Systems and Control”. The work examines equivalencies between two distinct approaches in data-driven predictive control, aiming for a unifying framework in future work.
Contact Manuel for further details or have a look in the extended abstract:
M. Klädtke and M. Schulze Darup. Towards a unifying framework for data-driven predictive control with quadratic regularization, 26th International Symposium on Mathematical Theory of Networks and Systems (MTNS), 2024. arXiv: https://arxiv.org/abs/2404.02721