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Department of Mechanical Engineering
VDI/VDE-GMA FA 2.15 „Grundlagen vernetzter und lernender Systeme“ in Reisensburg

Two talks @ GMA meeting Reisensburg 2024

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Dieter Teichrib and Manuel Klädtke at the Wissenschaftszentrum Schloss Reisensburg, attending VDI/VDE-GMA FA 2.15 2024. © RCS​/​MK

We contrituted two talks to this year's GMA meeting at the Reisensburg. Dieter Teichrib gave a talk on learning-based control. Manuel Klädtke dealt with data-driven predictive control in his talk.

The VDI/VDE-GMA FA 2.15 „Grundlagen vernetzter und lernender Systeme“ took place as usual at the Wissenschaftszentrum Schloss Reisensburg. Dieter Teichrib gave a talk on the “Analysis of Neural Network-Based Controllers via Mixed-Integer Programming” based on results previously contributed to IFAC WC 2023 and to CDC 2023. Manuel Klädtke gave a talk titled “Towards Explainable Data-Driven Predictive Control with Regularizations” based on results previously published in the L-CSS and presented at CDC 2023.

Contact Dieter or Manuel for further details or have a look at the respective papers:

D. Teichrib and M. Schulze Darup. Error bounds for maxout neural network approximations of model predictive control, 22nd IFAC World Congress, 2023. DOI: 10.1016/j.ifacol.2023.10.883

D. Teichrib and M. Schulze Darup. Efficient computation of Lipschitz constants for MPC with symmetries, 62nd IEEE Conference on Decision and Control (CDC), 2023. Preprint: https://arxiv.org/abs/2311.04580

M. Klädtke and M. Schulze Darup. Implicit predictors in regularized data-driven predictive control, IEEE Control Systems Letters, vol. 7, pp. 2479-2484, 2023. DOI: 10.1007/LCSYS.2023.3285104, Reprint: arXiv:2307.10750