A decomposition algorithm for Mean-Variance Economic Model Predictive Control of stochastic linear systems. - Leo Emil Sokoler; Bernd Dammann; Henrik Madsen; John Bagterp Jørgensen (ISIC, 2014)

A mean-variance criterion for economic model predictive control of stochastic linear systems. - Leo Emil Sokoler; Bernd Dammann; Henrik Madsen; John Bagterp Jørgensen (CDC, 2014)

High-performance small-scale solvers for linear Model Predictive Control. - Gianluca Frison; Hans Henrik Brandenborg Sørensen; Bernd Dammann; John Bagterp Jørgensen (ECC, 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)

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 (CDC, 2021)

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 (ACC, 2022)

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 (ECC, 2023)

Use Cases for High Performance Research Desktops. - Robert Henschel; Jonas Lindemann; Anders Follin; Bernd Dammann; H. E. Cicada Brokaw Dennis; Abhinav Thota (ISC Workshops, 2024)