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Identification of parametric models : from experimental data
Eric Walter,Luc Pronzato +1 more
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The article was published on 1997-01-01 and is currently open access. It has received 1251 citations till now. The article focuses on the topics: Parametric model & Experimental data.read more
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Proceedings ArticleDOI
Online monitoring of marine turbine insulation condition based on high frequency models: Methodology for finding the "best" identification protocol
TL;DR: This paper investigates the online monitoring of electrical machine winding insulation systems based on the parametric modeling and identification and proposes to use the output error method not only to estimate the model parameter values but also to evaluate their uncertainty.
Book ChapterDOI
Optimal Experimental Design for Systems and Synthetic Biology Using AMIGO2.
TL;DR: In this paper, a detailed practical procedure to compute optimal experiments using the AMIGO2 toolbox is presented, which can be used to define the set of experiments that would identify the best model or improve the identifiability of unknown parameters.
DissertationDOI
Improving output and input statistical error descriptions in urban hydrological modeling
TL;DR: The main goal of this thesis is to better represent input, structural, and output measurement errors in stormwater, wastewater, and sediment transport predictions to meliorate parameter estimation and prediction generation.
Journal ArticleDOI
Design optimisation for pharmacokinetic modeling of a cocktail of phenotyping drugs.
TL;DR: In this article, the authors proposed a methodological strategy to select optimal sampling designs for phenotyping studies including a cocktail of drugs, which is of high interest to determine the simultaneous activity of enzymes responsible for drug metabolism and pharmacokinetics.
Journal ArticleDOI
A new interval‐based method to characterize estimability
Olivier Reynet,Luc Jaulin +1 more
TL;DR: A new method based on interval analysis and set inversion tocharacterize estimability in the case of a bounded additive noise is presented.