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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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Journal ArticleDOI
Parameter identification of Droop model: an experimental case study.
TL;DR: A dedicated methodology for parameter identification is discussed, including the determination of an initial parameter set using an analytical procedure, the selection of a cost function, the evaluation of confidence intervals as well as direct and cross-validation tests.
Journal ArticleDOI
CO2 absorption in aqueous solutions of N-(2-hydroxyethyl)piperazine: Experimental characterization using interferometry and modeling
TL;DR: In this paper, a phenomenological model highlighting the limiting steps of the gas-liquid CO 2 absorption in an aqueous solution of N-(2-hydroxyethyl)piperazine is proposed, and the parameters of this model are estimated for various initial amine concentrations and initial loadings.
Journal ArticleDOI
Non-identifiable parametric probability models and reparametrization
TL;DR: This work considers parametric models where the assumption of identifiability is violated, but otherwise satisfy standard assumptions, and proposes an analytic method for constructing new parameters under which the model will be at least locally identifiable.
Journal ArticleDOI
A hybrid dynamic model for the prediction of molten iron and slag quality indices of a large-scale blast furnace
TL;DR: A hybrid dynamic model is developed for the prediction of the hot metal silicon content and the slag basicity in the blast furnace process and validation results show that the hybrid model is more accurate than the rigorous model and a stand-alone data-based model in long-term predictions of the dynamic behavior of the process.
Book ChapterDOI
A Plea for More Theory in Molecular Biology
TL;DR: This chapter argues that an essential tool to progress is a systems theory that allows biological objects and their operational characteristics to be captured in a succinct yet general form and constructs mathematical representations of standard cellular and intercellular functions which can be integrated to describe more general processes of cell complexes, and potentially entire organs.