Search Results for author: John Bagterp Jørgensen

Found 16 papers, 0 papers with code

Modeling principles for a physiology-based whole-body model of human metabolism

no code implementations22 Apr 2024 Laura Hjort Blicher, Peter Emil Carstensen, Jacob Bendsen, Henrik Linden, Bjørn Hald, Kim Kristensen, John Bagterp Jørgensen

Physiological whole-body models are valuable tools for the development of novel drugs where understanding the system aspects is important.

Electrification of Clay Calcination: A First Look into Dynamic Modeling and Energy Management for Integration with Sustainable Power Grids

no code implementations19 Apr 2024 Bruno Laurini, Nicola Cantisani, Wilson R. Leal da Silva, Yi Zong, John Bagterp Jørgensen

This article explores the electrification in clay calcination, proposing a dynamic model and energy management strategy for the integration of electrified calcination plants into sustainable power grids.

energy management Management

Numerical Discretization Methods for Linear Quadratic Control Problems with Time Delays

no code implementations12 Apr 2024 Zhanhao Zhang, Steen Hørsholt, John Bagterp Jørgensen

This paper presents the numerical discretization methods of the continuous-time linear-quadratic optimal control problems (LQ-OCPs) with time delays.

Model Predictive Control

Dynamic modeling and simulation of a flash clay calciner

no code implementations11 Apr 2024 Nicola Cantisani, Jan Lorenz Svensen, Ole Fink Hansen, John Bagterp Jørgensen

The model can be used, for example, to perform dynamic simulations with changing inputs, and process design and optimization.

A Comparative Study of Sensitivity Computations in ESDIRK-Based Optimal Control Problems

no code implementations7 Feb 2024 Anders Hilmar Damm Andersen, John Bagterp Jørgensen

This base case is an OCP that applies an ESDIRK method that refactorizes the iteration matrix in every Newton iteration and uses a direct approach for sensitivity computations.

Mathematical meal models for simulation of human metabolism

no code implementations31 Jul 2023 Tobias K. S. Ritschel, Asbjørn Thode Reenberg, Peter Emil Carstensen, Jacob Bendsen, John Bagterp Jørgensen

We present and critically discuss five commonly used mathematical models of the meal glucose rate of appearance in humans.

Quantitative modeling and simulation of biochemical processes in the human body

no code implementations30 Jul 2023 Jacob Bendsen, Peter Emil Carstensen, Asbjørn Thode Reenberg, Tobias K. S. Ritschel, John Bagterp Jørgensen

We present a whole-body model of human metabolism that utilizes a system of organs and blood vessels to simulate the enzymatic reactions.

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

no code implementations27 Feb 2023 Anders H. D. Andersen, Zhanhao Zhang, Steen Hørsholt, Tobias K. S. Ritschel, John Bagterp Jørgensen

The key software principles are 1) shared data in the form of a database, files, or shared memory, 2) timers and threads for concurrent periodic execution of tasks, and 3) network communication between the control system and the process, and communication between the control system and the internet, e. g., the cloud to enable remote monitoring and commands.

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

no code implementations9 Dec 2022 Anders H. D. Andersen, Tobias K. S. Ritschel, Steen Hørsholt, Jakob Kjøbsted Huusom, John Bagterp Jørgensen

We estimate the parameters in a continuous-discrete time stochastic nonlinear model for the QTS using a prediction-error-method based on the measured process data and a maximum likelihood (ML) criterion.

Model Predictive Control

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

no code implementations5 Dec 2022 Morten Wahlgreen Kaysfeld, Mario Zanon, John Bagterp Jørgensen

We perform high-performance Monte Carlo simulations in C enabled by a new thread-safe NMPC implementation in combination with an existing high-performance Monte Carlo simulation toolbox in C. We express the NMPC regulator as an optimal control problem (OCP), which we solve with the new thread-safe sequential quadratic programming software NLPSQP.

Model Predictive Control

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

no code implementations25 Nov 2022 Sarah Ellinor Engell, Tinna Björk Aradóttir, Tobias K. S. Ritschel, Henrik Bengtsson, John Bagterp Jørgensen

Specifically, we present a method to automatically estimate a personalized daily dose of basal insulin from closed-loop data collected with an AP.

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