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Department of Mechanical Engineering
61st IEEE Conference on Decision and Control at Cancun, Mexico

Three papers and invited session @ CDC 2022

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Sometimes work and pleasure go hand in hand: The conference hotel was in front of a beautiful beach.

Nils Schlü­ter and Junsoo Kim presented our papers on "Encrypted distributed state estimation via affine averaging" and "Asymptotic stabilization over encrypted data with limited controller capacity and time-varying quantizer" in an invited session on "Encrypted control and optimization" co-or­ga­nized by our group and researchers from the University of Maryland and the Seoul National Uni­ver­sity. Manuel Klädtke presented another paper on "A deterministic view on explicit data-driven (M)PC".

The 61st IEEE Conference on Decision and Control (CDC) took place in Cancun, Mexico. We presented papers on encrypted state estimation, data-driven predictive control, and time-varying quantizers, and co-organized an invited session.

Contact Nils, Manuel, or Moritz for further details or have a look at the papers:

M. Klädtke, D. Teichrib, N. Schlüter, and M. Schulze Darup. A deterministic view on explicit data-driven (M)PC, in Proc. of the 61st IEEE Conference on Decision and Control (CDC), pp. 499-504, 2022. DOI: 10.1109/CDC51059.2022.9993384, Preprint: arXiv:2206.07025

Nils Schlü­ter, Philipp Binfet, Junsoo Kim, and Moritz Schulze Darup. Encrypted distributed state estimation via affine averaging, in Proc. of the 61st IEEE Conference on Decision and Control (CDC), 2022. Preprint: arXiv:2209.07206

J. Kim, M. Schulze Darup, and H. Sandberg, and K. H. Johansson. Asymptotic stabilization over encrypted data with limited controller capacity and time-varying quantizer, in Proc. of the 61st IEEE Conference on Decision and Control (CDC), 2022.