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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
Entropy minimization for parameter estimation problems with unknown distribution of the output noise
Luc Pronzato,E. Thierry +1 more
TL;DR: This work considers the situation where the parameters of a linear regression model have to be estimated from observations corrupted by an additive noise with unknown distribution f, and estimates /spl theta/ by minimizing the entropy of a kernel estimate of f, constructed from the residuals.
Good, Bad and Optimal Experiments for Identification
TL;DR: This chapter will discuss more recent results on robust experiment design which, interalia, account for cases where the prior knowledge is less precise, and highlight the differences between “good, bad and optimal” experiments.
Journal ArticleDOI
Identification of dynamic models for a wave energy converter from experimental data
TL;DR: This study shows that the determination of model structure and orders is not so straightforward, but that consistent and useful computationally efficient models can be obtained.
Proceedings ArticleDOI
Robust estimation of parallel robot dynamic parameters with interval analysis
TL;DR: This paper deals with the application of interval analysis for outer bounding the physical parameters of parallel robots with classical Lagrange equation with preconditioned Gauss-Seidel contractor modified in order to be used with over-determined linear systems.
Journal ArticleDOI
Generalization of map estimation in SAAM II: validation against ADAPT II in a glucose model case study.
TL;DR: It is shown that this limitation of SAAM II can be easily overcome by resorting to a probability theory result, and a recently proposed two-compartment minimal model of glucose kinetics during an intravenous glucose tolerance test is identified.