Bernd Dammann

According to our database, Bernd Dammann authored at least 8 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Use Cases for High Performance Research Desktops.

Robert Henschel, Jonas Lindemann, Anders Follin, Bernd Dammann, H. E. Cicada Brokaw Dennis, Abhinav Thota

CoRR, 2024

2023

A one-size-fits-all artificial pancreas for people with type 1 diabetes based on physiological insight and feedback control.

Tobias K. S. Ritschel, Asbjørn Thode Reenberg, Emilie B. Lindkvist, Christian Laugesen, Jannet Svensson, Ajenthen G. Ranjan, Kirsten Nørgaard, Bernd Dammann, John Bagterp Jørgensen

Proceedings of the European Control Conference, 2023

2022

High-performance Uncertainty Quantification in Large-scale Virtual Clinical Trials of Closed-loop Diabetes Treatment.

Asbjørn Thode Reenberg, Tobias K. S. Ritschel, Bernd Dammann, John Bagterp Jørgensen

Proceedings of the American Control Conference, 2022

2021

A High-Performance Monte Carlo Simulation Toolbox for Uncertainty Quantification of Closed-loop Systems.

Morten Ryberg Wahlgreen, Asbjørn Thode Reenberg, Marcus Krogh Nielsen, Anton Rydahl, Tobias K. S. Ritschel, Bernd Dammann, John Bagterp Jørgensen

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2014

A Branch and Bound Algorithm for a Class of Biobjective Mixed Integer Programs.

Thomas R. Stidsen, Kim Allan Andersen, Bernd Dammann

Manag. Sci., 2014

High-performance small-scale solvers for linear Model Predictive Control.

Gianluca Frison, Hans Henrik Brandenborg Sørensen, Bernd Dammann, John Bagterp Jørgensen

Proceedings of the 13th European Control Conference, 2014

A mean-variance criterion for economic model predictive control of stochastic linear systems.

Leo Emil Sokoler, Bernd Dammann, Henrik Madsen, John Bagterp Jørgensen

Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

A decomposition algorithm for Mean-Variance Economic Model Predictive Control of stochastic linear systems.

Leo Emil Sokoler, Bernd Dammann, Henrik Madsen, John Bagterp Jørgensen

Proceedings of the 2014 IEEE International Symposium on Intelligent Control, 2014