activity
20172023
most citedA Family of ESDIRK Integration Methods

7 citations · 20 across the 23 of their papers we have counts for

collaborators
Showing eess.SYShow all

6 papers · 1 filter

eess.SY2023

Mathematical meal models for simulation of human metabolism

Tobias K. S. Ritschel, Asbjørn Thode Reenberg, Peter Emil Carstensen +2

We present and critically discuss five commonly used mathematical models of the meal glucose rate of appearance in humans. Such models are key to simulation of the metabolism in he…

eess.SY2023

Software principles and concepts applied in the implementation of cyber-physical systems for real-time advanced process control

Anders H. D. Andersen, Zhanhao Zhang, Steen Hørsholt +2

Cyber-physical systems (CPSs) for real-time advanced process control (RT-APC) are a class of control systems using network communication to control industrial processes. In this pa…

eess.SY2022★ 1 cited

Model-based control algorithms for the quadruple tank system: An experimental comparison

Anders H. D. Andersen, Tobias K. S. Ritschel, Steen Hørsholt +2

We compare the performance of proportional-integral-derivative (PID) control, linear model predictive control (LMPC), and nonlinear model predictive control (NMPC) for a physical s…

eess.SY2022★ 1 cited

Model Predictive Control Tuning by Monte Carlo Simulation and Controller Matching

Morten Ryberg Wahlgreen, John Bagterp Jørgensen, Mario Zanon

This paper presents a systematic method for the selection of the Model Predictive Control (MPC) stage cost. We match the MPC feedback law to a proportional-integral (PI) controller…

eess.SY2022

Performance Quantification of a Nonlinear Model Predictive Controller by Parallel Monte Carlo Simulations of a Closed-loop System

Morten Wahlgreen Kaysfeld, Mario Zanon, John Bagterp Jørgensen

This paper presents a parallel Monte Carlo simulation based performance quantification method for nonlinear model predictive control (NMPC) in closed-loop. The method provides dist…

eess.SY2022

Estimating a Personalized Basal Insulin Dose from Short-Term Closed-Loop Data in Type 2 Diabetes

Sarah Ellinor Engell, Tinna Björk Aradóttir, Tobias K. S. Ritschel +2

In type 2 diabetes (T2D) treatment, finding a safe and effective basal insulin dose is a challenge. The dose-response is highly individual and to ensure safety, people with T2D tit…