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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
Measuring the mechanical resonance frequency and quality factor of MEM resonators with well-defined uncertainties using optical interferometric techniques
TL;DR: In this article, the authors presented a novel detection technique based on heterodyne interferometers, from which they can accurately predict resonant-frequency and quality-factor uncertainties of mechanical resonators.
Journal ArticleDOI
Parameter Identification Methods in a Model of the Cardiovascular System
TL;DR: This work presents a comparison of seven parameter identification methods applied to a lumped-parameter cardiovascular system model, and indicates that the trust-region reflective method seems to be the best method for the present model.
Proceedings ArticleDOI
Statistical Approach for Bias-free Identification of a Parallel Manipulator Affected by Large Measurement Noise
TL;DR: The problem of high measurement noise in identification issue is treated in this paper for an innovative parallel robotic manipulator and to consider the noise and the correlation across the system’s output a complete statistical approach is presented.
Journal ArticleDOI
Identification of kinetic models of methanol oxidation on silver in the presence of uncertain catalyst behavior
Marco Quaglio,Fabrizio Bezzo,Asterios Gavriilidis,Enhong Cao,Noor Al-Rifai,Federico Galvanin +5 more
TL;DR: In this paper, a simplified kinetic model is identified from data collected from continuous flow microreactor systems where catalysts with assorted levels of reactivity are employed and applied for the effective estimation of the kinetic parameters and for identifying robust experimental conditions to be exploited for the kinetic characterization of catalysts.
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Monitoring Biological Rhythms Through the Dynamic Model Identification of an Oyster Population
Hafiz Ahmed,Rosane Ushirobira,Denis Efimov,Damien Tran,Mohamedou Sow,Pierre Ciret,Jean-Charles Massabuau +6 more
TL;DR: It is demonstrated that the developed dynamical model of the oyster valve movement can be used for estimating normal physiological rhythms of permanently immersed oysters and can be considered for detecting perturbations of these rhythms due to changes in the water quality, i.e., for ecological monitoring.