311 citations · 859 across the 33 of their papers we have counts for
12 papers · 1 filter
Comparing Model-based Control Strategies for a Quadruple Tank System: Decentralized PID, LMPC, and NMPC
Anders H. D. Christensen, Tobias K. S. Ritschel, Jan Lorenz Svensen +3
This paper compares the performance of a decentralized proportional-integral-derivative (PID) controller, a linear model predictive controller (LMPC), and a nonlinear model predict…
Modeling, scientific computing and optimal control for renewable energy systems with storage
Nicola Cantisani, Tobias K. S. Ritschel, Christian A. Thilker +2
This paper presents models for renewable energy systems with storage, and considers its optimal operation. We model and simulate wind and solar power production using stochastic di…
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…
Model Predictive Control Tailored to Epidemic Models
Philipp Sauerteig, Willem Esterhuizen, Mitsuru Wilson +3
We propose a model predictive control (MPC) approach for minimising the social distancing and quarantine measures during a pandemic while maintaining a hard infection cap. To this…
How much testing and social distancing is required to control COVID-19? Some insight based on an age-differentiated compartmental model
Sara Grundel, Stefan Heyder, Thomas Hotz +3
In this paper, we provide insights on how much testing and social distancing is required to control COVID-19. To this end, we develop a compartmental model that accounts for key as…
Filtering and Prediction of the Blood Glucose Concentration using an Android Smart Phone and a Continuous Glucose Monitor
Zeinab Mahmoudi, Dimitri Boiroux, Tobias K. S. Ritschel +1
In this paper we numerically assess the performance of Java linear algebra libraries for the implementation of nonlinear filters in an Android smart phone (Samsung A5 2017). We imp…
Dynamic Optimization of Thermodynamically Rigorous Models of Multiphase Flow in Porous Subsurface Oil Reservoirs
Tobias K. S. Ritschel, John Bagterp Jørgensen
In this paper, we consider dynamic optimization of thermal and isothermal oil recovery processes which involve multicomponent three-phase flow in porous media. We present thermodyn…