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Identification of parametric models : from experimental data

Eric Walter, +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.

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Proceedings ArticleDOI

Smart remote sensing of environmental systems using Unmanned Air Vehicles

Christophe Tricaud, +1 more
TL;DR: This paper describes an autonomous methodology that optimizes the relevance of the data gathered by the UAVs for parameter estimation and updates the flight path accordingly and demonstrates capability of the method.

Accuracy of material parameter estimation

Anders Salomonsson
TL;DR: This thesis deals with material parameter estimation for non-linear material models, which is an extremely important part of a finite element analysis.
Book ChapterDOI

Locally Non-linear Model Calibration Using Multi Harmonic Responses: Applied on Ecole de Lyon Non-linear Benchmark Structure

Vahid Yaghoubi, +3 more
TL;DR: In this article, the authors used the Latin Hypercube sampling method to select the starting points for the calibration of a nonlinear FE-model and the test data that should be chosen such that the expected estimate variances of the chosen parameters are made small.

Model calibration of locally nonlinear structures using information from sub and super harmonic responses

Yousheng Chen, +3 more
TL;DR: In this article, the calibration process including the selection of appropriate data to be used for calibration of the model parameters chosen is treated, and synthetic test data stemming from a model of the Ecole Centrale de Lyon (ECL) nonlinear benchmark are used.
Proceedings ArticleDOI

Optimal experiment design for bounded-error estimation of nonlinear models

Liliane Denis-Vidal, +2 more
TL;DR: An optimal experiment design approach for parameter estimation in a bounded-error context and shows that the DB-SM or A-SM optimal experiments lead to smaller set estimates in the worst case, compared to experiments designed with state-of-the-art techniques.