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Low-order models : optimal sampling and linearized control strategies

Edoardo Lombardi 1 Michel Bergmann 1, 2 Simone Camarri 3 Angelo Iollo 4
1 IMB - Institut de Mathématiques de Bordeaux
2 MC2 - Modélisation, contrôle et calcul
Inria Bordeaux - Sud-Ouest, UB - Université de Bordeaux, CNRS - Centre National de la Recherche Scientifique : UMR5251
3 DIA - Dipartimento Ingegneria Aerospaziale "Lucio Lazzarino"
4 MC2 - Modélisation, contrôle et calcul
INRIA Futurs, Université Bordeaux Segalen - Bordeaux 2, Université Sciences et Technologies - Bordeaux 1
Abstract : We propose an optimal sampling strategy to build a robust low-order model. This idea is applied to the construction of a vortex wake model accurate for several regimes. In addition we explore the relationships between unstable modes and low-order modelling. An example of control based on a linearized approach is presented.
Keywords : reduced order models optimal sampling control
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https://hal.inria.fr/inria-00430410
Contributor : Michel Bergmann <>
Submitted on : Friday, November 6, 2009 - 4:32:19 PM
Last modification on : Thursday, February 11, 2021 - 2:54:02 PM
Long-term archiving on: : Thursday, June 17, 2010 - 7:39:19 PM

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Edoardo Lombardi, Michel Bergmann, Simone Camarri, Angelo Iollo. Low-order models : optimal sampling and linearized control strategies. [Research Report] RR-7092, INRIA. 2009, pp.32. ⟨inria-00430410⟩

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