Výsledky vyhledávání - "Nicolas Dovetta"

Uncertainty propagation in model extraction by system identification and its implication for control design

Autor: Nicolas Dovetta, Peter J. Schmid, Denis Sipp

Publikováno v: Journal of Fluid Mechanics
Journal of Fluid Mechanics, Cambridge University Press (CUP), 2016, 791, p. 214-236. ⟨10.1017/jfm.2016.38⟩

International audience; In data-based control design, system-identification techniques are used to extract low-dimensional representations of the input–output map between actuators and sensors from observed data signals. Under realistic conditions,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::edcbac6b9488c9f97b061a0b5d23666c
https://doi.org/10.1017/jfm.2016.38

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Data assimilation of mean velocity from 2D PIV measurements of flow over an idealized airfoil

Autor: Denis Sipp, Peter J. Schmid, Nicolas Dovetta, Sean Symon, Beverley McKeon

Publikováno v: Experiments in Fluids
Experiments in Fluids, Springer Verlag (Germany), 2017, 58 (58), p. 1-17. ⟨10.1007/s00348-017-2336-8⟩

International audience; Data assimilation can be used to combine experimental and numerical realizations of the same flow to produce hybrid flow fields. These have the advantages of less noise contamination and higher resolution while simultaneously

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dde0264b07fa19a0fb71e1df30d89c68
https://doi.org/10.1007/s00348-017-2336-8

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A data-assimilation method for Reynolds-averaged Navier–Stokes-driven mean flow reconstruction

Autor: Nicolas Dovetta, D. P. G. Foures, Peter J. Schmid, Denis Sipp

Publikováno v: Journal of Non-Newtonian Fluid Mechanics
Journal of Non-Newtonian Fluid Mechanics, Elsevier, 2014, 759 (november), pp.404-431. ⟨10.1017/jfm.2014.566⟩

We present a data-assimilation technique based on a variational formulation and a Lagrange multipliers approach to enforce the Navier–Stokes equations. A general operator (referred to as the measure operator) is defined in order to mathematically d

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9322557fc58b322ee906d51a1bc190b2
https://doi.org/10.1017/jfm.2014.566

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