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Department of Mechanical Engineering
26th International Symposium on Mathematical Theory of Networks and Systems (MTNS) in Cambridge

Extended abstract in invited session @ MTNS 2024

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Manuel at St John’s College in Cambridge. © RCS​/​MK

Manuel Klädtke presented his extended abstract titled “Towards a unifying framework for data-driven predictive control with quadratic regularization” at the MTNS 2024 in Cambridge

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