most citedBenchmarking real-time monitoring strategies for ethanol production from lignocellulosic biomass

52 citations · 54 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SY20221 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…

math.OC2022

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…

math.OC20221 cited

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…

math.OC2022

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…

q-bio.QM202152 cited

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-…