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Fluid Flow Estimation with Multiscale Ensemble Filters Based on Motion Measurements Under Location Uncertainty

Numerical Mathematics(Theory,Methods and Applications) 2013年第1期6卷 21-46页

作者： Sébastien Beyou thomas corpetti Sai Gorthi Etienne Mémin INRIA/FLUMINANCE 35042 Rennes CedexFrance CNRS/LETG-Rennes-Costel Campus Villejean Place du recteur Henri Le Moal CS *** Rennes cedexFrance Indian Institute of Space Science and Technology Valiamala P.O.Thiruvananthapuram–695547Kerala India

This paper proposes a novel multi-scale fluid flow data assimilation approach,which integrates and complements the advantages of a Bayesian sequential assimilationtechnique, the Weighted Ensemble Kalman filter (WEnKF) [27]. The data assimilation proposed in this work incorporates measurement brought by an efficient multiscalestochastic formulation of the well-known Lucas-Kanade (LK) estimator. This estimatorhas the great advantage to provide uncertainties associated to the motion measurements at different scales. The proposed assimilation scheme benefits from this multiscale uncertainty information and enables to enforce a physically plausible dynamicalconsistency of the estimated motion fields along the image sequence. Experimentalevaluations are presented on synthetic and real fluid flow sequences.

关键词： Data assimilation stochastic filter particle filters fluid motion estimation

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Continuous Control of Lagrangian Data

Continuous Control of Lagrangian Data

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2011 International Conference on Mechanical Engineering and Technology(ICMET 2011)

作者： Pierre Allain Nicolas Courty thomas corpetti VALORIA University of Bretagne Sud CNRS LIAMA (TIPE project)

This paper addresses the challenging problem of globally controlling several（and possibly independent） moving agents that together form a whole, generally called swarm, which may display interesting properties. Applications are numerous and can be related either to robotics or computer animation. Assuming the agents are driven by their own dynamics（such act as Newtonian particles）, controlling this swarm is known as the particle swarm control problem. In this paper, the theory of an original approach to solve this issue, where we rely on a centralized control rather than focusing on designing individual and simple rules for the agents, is presented. To that end, we propose a framework to control several particles with constraints either expressed on a per-particle basis,or expressed as a function of their environment. We refer to these two categories as respectively Lagrangian or Eulerian constraints.

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Multi-scale coarse-to-fine approach for the study of turbulent motion from 2D images

Multi-scale coarse-to-fine approach for the study of turbule...

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中国力学大会——2013

作者： Zille P. Cui G.X. Zhang Z.S. Shao L. corpetti T. LIAMA Institute of Automation Tsinghua University School of Aerospace Ecole Centrale Lyon CNRS UMR 5509 LMFALyonFrance

In this paper,we use an original and recently developed observation model for multi-scale optical flow *** tackle this issue by proposing a flexible framework,inspired from large eddy simulation models,able to partly counter the mentioned *** filtering process and variables decomposition,we derive the new following *** scales effects are indeed neglected in the classical ***

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