65 citations · 100 across the 17 of their papers we have counts for
9 papers · 1 filter
State Estimation for Continuous-Discrete-Time Nonlinear Stochastic Systems
Marcus Krogh Nielsen, Tobias K. S. Ritschel, Ib Christensen +4
State estimation incorporates the feedback in optimization based advanced process control systems and is very important for the performance of model predictive control. We describe…
State Estimation Methods for Continuous-Discrete Nonlinear Systems involving Stochastic Differential Equations
Marcus Krogh Nielsen, Tobias K. S. Ritschel, Ib Christensen +4
In this work, we present methods for state estimation in continuous-discrete nonlinear systems involving stochastic differential equations. We present the extended Kalman filter, t…
Large-scale Virtual Clinical Trials of Closed-loop Treatments for People with Type 1 Diabetes
Tobias K. S. Ritschel, Asbjørn Thode Reenberg, John Bagterp Jørgensen
We propose a virtual clinical trial for assessing the safety and efficacy of closed-loop diabetes treatments prior to an actual clinical trial. Such virtual trials enable rapid and…
Nonlinear Model Predictive Control and System Identification for a Dual-hormone Artificial Pancreas
Asbjørn Thode Reenberg, Tobias K. S. Ritschel, Emilie B. Lindkvist +5
In this work, we present a switching nonlinear model predictive control (NMPC) algorithm for a dual-hormone artificial pancreas (AP), and we use maximum likelihood estimation (MLE)…
High-performance Uncertainty Quantification in Large-scale Virtual Clinical Trials of Closed-loop Diabetes Treatment
Asbjørn Thode Reenberg, Tobias K. S. Ritschel, Bernd Dammann +1
In this paper, we propose a virtual clinical trial for assessing the performance and identifying risks in closed-loop diabetes treatments. Virtual clinical trials enable fast and r…
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 +6
We propose a model-free artificial pancreas (AP) for people with type 1 diabetes. The algorithmic parameters are tuned to a virtual population of 1,000,000 individuals, and the AP…