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- W2024286113 abstract "Research Article| January 01 2006 Designing and performing experiments for model calibration using an automated iterative procedure D.J.W. De Pauw; D.J.W. De Pauw 1Biomath, Department of Applied Mathematics, Biometrics and Process Control, Ghent University, Coupure Links 653, 9000 Gent, Belgium, (E-mail: peter.vanrolleghem@biomath.ugent.be) E-mail: dirk.depauw@biomath.ugent.be Search for other works by this author on: This Site PubMed Google Scholar P.A. Vanrolleghem P.A. Vanrolleghem 1Biomath, Department of Applied Mathematics, Biometrics and Process Control, Ghent University, Coupure Links 653, 9000 Gent, Belgium, (E-mail: peter.vanrolleghem@biomath.ugent.be) Search for other works by this author on: This Site PubMed Google Scholar Water Sci Technol (2006) 53 (1): 117–127. https://doi.org/10.2166/wst.2006.014 Connected Content Errata: Biological treatment of industrial wastes in a photobioreactor Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Share Icon Share Facebook Twitter LinkedIn MailTo Tools Icon Tools Cite Icon Cite Permissions Search Site Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAll JournalsThis Journal Search Advanced Search Citation D.J.W. De Pauw, P.A. Vanrolleghem; Designing and performing experiments for model calibration using an automated iterative procedure. Water Sci Technol 1 January 2006; 53 (1): 117–127. doi: https://doi.org/10.2166/wst.2006.014 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex Optimal experimental design for parameter estimation involves complex mathematical and practical steps in order to obtain a model with sufficiently accurate parameters. This paper proposes a methodology where user interaction is only required at the beginning of the experimental design procedure. All subsequent steps are carried out automatically, including: (1) finding the optimal experiment, (2) performing the experiments in practice, and (3) recalibrating the model. A software extension to an existing modelling and simulation package which performs this automatic procedure is also presented. Finally an illustration for the calibration of a one-step nitrification model using respirometric data is given. In this case, the application of the proposed procedure resulted, after three iterations, in considerably better confidence intervals on the parameter estimates, within the desired boundaries. Automation, calibration, mathematical modelling, optimal experimental design, parameter estimation This content is only available as a PDF. © IWA Publishing 2006 You do not currently have access to this content." @default.
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