Title
Parameter identification of the droop model using optimal experiment design
Date Issued
01 February 2015
Access level
open access
Resource Type
conference paper
Author(s)
Telen D.
Lauwers J.
Logist F.
Van Impe J.
Wouwer A.V.
University of Mons
Abstract
The Droop model is a classical model used to describe substrate limitation in cultures of microalgae in photobioreactors. In this study, we address the questions of structural identifiability as well as practical identifiability. Optimal experiment design based on the M-criterion is used to determine a small set of experiments that would allow an accurate estimation of the model parameters. Direct and cross-validation results are presented and discussed in the framework of a simulation study. As a result, all parameters are found to be structurally identifiable and two continuous experiments are proposed that target either the estimation of the maximum substrate uptake rate and maximum growth rate, or the half saturation constant of the uptake rate, respectively.
Start page
586
End page
591
Volume
28
Issue
1
Language
English
OCDE Knowledge area
Ingeniería eléctrica, Ingeniería electrónica
Scopus EID
2-s2.0-84954175957
Conference
IFAC-PapersOnLine
Sponsor(s)
Automation and Control Institute (ACIN) Federation of European Societies on Modelling and Simulation (EUROSIM) Institute of Analysis and Scientific Computing Mathematical Modelling and Simulation Group (ASC) International Federation for Automatic Control (IFAC) Vienna University of Technology (TUWIEN)
Sources of information: Directorio de Producción Científica Scopus