52 citations · 54 across the 6 of their papers we have counts for
6 papers
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…
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…
Modelling and Economic Optimal Control for a Laboratory-scale Continuous Stirred Tank Reactor for Single-cell Protein Production
Marcus Krogh Nielsen, Jens Dynesen, Jess Dragheim +5
In this paper, we present a novel kinetic growth model for the micro-organism \textit{Methylococcus capsulatus} (Bath) that couples growth and pH. We apply growth kinetics in a mod…
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…
Benchmarking real-time monitoring strategies for ethanol production from lignocellulosic biomass
Pau Cabaneros Lopez, Hannah Feldman, Miguel Mauricio-Iglesias +3
The goal of this paper is to review and critically assess different methods to monitor key process variables for ethanol production from lignocellulosic biomass. Because cellulose-…