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Department of Mechanical Engineering
62nd IEEE Conference on Decision and Control (CDC) in Singapore

Papers and invited session @ CDC 2023

Philipp Binfet, Dieter Teichrib, Nils Schlüter, and Manuel Klädtke at Marina Bay Sands Conference Centre in Singapore, attending 62nd CDC 2023. © MK​/​RCS

Philipp Binfet, Dieter Teichrib, and Manuel Klädtke presented our conference papers. Moritz Schulze Darup co-organized an invited session on “Encrypted Control and Optimization” jointly with Andreea B. Alexandru (Duality Technologies) and Junsoo Kim (SeoulTech).

The 62nd IEEE Conference on Decision and Control (CDC) took place in Singapore. Philipp presented our paper “On the security of randomly transformed quadratic programs related to privacy-preserving cloud-based control” in the invited session on “Encrypted Control and Optimization” co-organized by our group. Furthermore, Dieter and Manuel presented our papers on “Efficient computation of Lipschitz constants for MPC with symmetries” and “Implicit predictors in regularized data-driven predictive control” in a regular session on “Predictive Control for Linear Systems”.

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

P. Binfet, N.Schlüter and M. Schulze Darup. On the security of randomly transformed quadratic programs related to privacy-preserving cloud-based control, 62nd IEEE Conference on Decision and Control (CDC), 2023. Preprint: https://arxiv.org/abs/2311.05215

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