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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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Book ChapterDOI

Efficient Sampling Windows for Parameter Estimation in Mixed Effects Models

TL;DR: A method of calculating an efficient window design for parameter estimation in a non-linear mixed effects model and defines a window population design on the basis of a continuous design for such a model.
Journal ArticleDOI

Improved calibration of simulation models in railway dynamics: application of a parameter identification process to the multi-body model of a TGV train

TL;DR: In this paper, the vehicle suspension parameters of a TGV (Train a Grande Vitesse) train are estimated by minimising a misfit function describing the distance between the measured and the simulated vehicle response.

Statistical model updating and validation applied to nonlinear transient structural dynamics

TL;DR: This paper presents an example of a statistics-based model updating and validation philosophy applied to a nonlinear transient structural dynamics problem, the response of a steel/polymer foam assembly during a drop test, and an assessment of the predictive accuracy of the simulation.
Journal ArticleDOI

Bayesian parameter estimation for dynamical models in systems biology

TL;DR: A comprehensive framework for Bayesian parameter estimation and complete quantification of the effects of uncertainties in the data and models is proposed and applied to a series of signaling models of increasing mathematical complexity to highlight how focused uncertainty quantification can enrich systems biology modeling and enable additional quantitative analyses for parameter estimation.
Journal ArticleDOI

Identification and robust controller design for an electromechanical actuator with time delay

TL;DR: In this paper, the experimental identification, structured and unstructured uncertainty modelling, and robust control design of a real electromechanical actuator (EMA) harmonic drive system with time delay were addressed.