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Dive into the research topics where Emmanuelle Crépeau is active.

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Featured researches published by Emmanuelle Crépeau.


Journal of the European Mathematical Society | 2004

Exact boundary controllability of a nonlinear KdV equation with critical lengths

Jean-Michel Coron; Emmanuelle Crépeau

We study the boundary controllability of a nonlinear Korteweg-de Vries equation with the Dirichlet boundary condition on an interval with a critical length for which it has been shown by Rosier that the linearized control system around the origin is not controllable. We prove that the nonlinear term gives the local controllability around the origin.


international conference of the ieee engineering in medicine and biology society | 2007

Arterial blood pressure analysis based on scattering transform II

Taous-Meriem Laleg; Emmanuelle Crépeau; Yves Papelier; Michel Sorine

This article presents a new method for analyzing arterial blood pressure waves. The technique is based on the scattering transform and consists in solving the spectral problem associated to a one-dimensional Schrodinger operator with a potential depending linearly upon the pressure. This potential is then expressed with the discrete spectrum which includes negative eigenvalues and corresponds to the interacting components of an N-soliton. The approach is analogous to the Fourier transform where the solitons play the role of sinus and cosinus components. The proposed method seems to have interesting clinical applications. It can be used for example to separate the fast and slow parts of the blood pressure that correspond to the systolic (pulse transit time) and diastolic phases (low velocity flow) respectively.ldquoArterial blood pressure analysis based on scattering transform Irdquo introduces a new method based on the scattering transform for a one dimensional Schrodinger equation to reconstruct the arterial blood pressure waves and separate its systolic and diastolic parts. In this article, we propose to analyse the parameters computed from this technique in different clinical and physiological conditions. Two cases are considered : moderate chronic heart failure and high fit triathletes. The variability of these new parameters is compared to the variability of classical blood pressure parameters. Promising results are obtained.


Biomedical Signal Processing and Control | 2007

Separation of arterial pressure into a nonlinear superposition of solitary waves and a windkessel flow

Taous-Meriem Laleg; Emmanuelle Crépeau; Michel Sorine

Abstract A simplified model of arterial blood pressure intended for use in model-based signal processing applications is presented. The main idea is to decompose the pressure into two components: a travelling wave which describes the fast propagation phenomena predominating during the systolic phase and a windkessel flow that represents the slow phenomena during the diastolic phase. Instead of decomposing the blood pressure pulse into a linear superposition of forward and backward harmonic waves, as in the linear wave theory, a nonlinear superposition of travelling waves matched to a reduced physical model of the pressure, is proposed. Very satisfactory experimental results are obtained by using forward waves, the N -soliton solutions of a Korteweg–de Vries equation in conjunction with a two-element windkessel model. The parameter identifiability in the practically important 3-soliton case is also studied. The proposed approach is briefly compared with the linear one and its possible clinical relevance is discussed.


conference on decision and control | 2005

Identifiability of a reduced model of pulsatile flow in an arterial compartment

Emmanuelle Crépeau; Michel Sorine

In this article we propose a reduced model of the input-output behaviour of an arterial compartment, including the short systolic phase where wave phenomena are predominant. The objective is to provide basis for model-based signal processing methods for the estimation from non-invasive measurements and the interpretation of the characteristics of these waves. Standard space discretizations of distributed models of the flow lead to high order models for the pressure wave transfer function, and low order rational transfer functions approximations give poor results. The main idea developed here to circumvent these problems is to explicitly use a propagation delay in the reduced model. Due to phenomena such that peaking and steepening, the considered pressure pulse waves behave more like solitons generated by a Korteweg de Vries (KdV) equation than like linear waves. So we start with a quasi-1D Navier-Stokes equation that takes into account a radial acceleration of the wall, in order to be able to recover, during the reduction process, the dispersive term of KdV equation which, combined with the nonlinear transport term gives rise to solitons. The radial and axial acceleration terms being supposed small, a multiscale singular perturbation technique is used to separate the fast wave propagation phenomena taking place in a boundary layer in time and space described by a KdV equation from the slow phenomena represented by a parabolic equation leading to two-elements windkessel models.


Applicable Analysis | 2013

Lipschitz stability in an inverse problem for the Kuramoto-Sivashinsky equation

Lucie Baudouin; Eduardo Cerpa; Emmanuelle Crépeau; Alberto Mercado

In this article, we present an inverse problem for the nonlinear 1D Kuramoto–Sivashinsky (KS) equation. More precisely, we study the nonlinear inverse problem of retrieving the anti-diffusion coefficient from the measurements of the solution on a part of the boundary and also at some positive time in the whole space domain. The Lipschitz stability for this inverse problem is our main result and it relies on the Bukhgeĭm–Klibanov method. The proof is indeed based on a global Carleman estimate for the linearized KS equation.


IFAC Proceedings Volumes | 2006

SEPARATION OF ARTERIAL PRESSURE INTO SOLITARY WAVES AND WINDKESSEL FLOW

Taous-Meriem Laleg; Emmanuelle Crépeau; Michel Sorine

A simplified model of arterial blood pressure intended for use in model-based signal processing applications is presented. The main idea is to decompose the pressure into two components: a travelling wave describes the fast propagation phenomena predominating during the systolic phase and a windkessel flow represents the slow phenomena during the diastolic phase. Instead of decomposing the blood pressure pulse into a linear superposition of forward and backward harmonic waves, as in the linear wave theory, a nonlinear superposition of travelling waves matched to a reduced physical model of the pressure, is proposed. Very satisfactory experimental results are obtained by using forward waves, the N- soliton solutions of a Korteweg-de Vries equation in conjunction with a two-element windkessel model. The parameter identifiability in the practically important 3- soliton case is also studied. The proposed approach is briefly compared with the linear one and its possible clinical relevance is discussed.


Journal of Inverse and Ill-posed Problems | 2014

On the determination of the principal coefficient from boundary measurements in a KdV equation

Lucie Baudouin; Eduardo Cerpa; Emmanuelle Crépeau; Alberto Mercado

Abstract This paper concerns the inverse problem of retrieving the principal coefficient in a Korteweg–de Vries (KdV) equation from boundary measurements of a single solution. The Lipschitz stability of this inverse problem is obtained using a new global Carleman estimate for the linearized KdV equation. The proof is based on the Bukhgeĭm–Klibanov method.


Systems & Control Letters | 2008

Approximate controllability of a reaction-diffusion system.

Emmanuelle Crépeau; Christophe Prieur

Abstract An open-loop control for a system coupling a reaction-diffusion system and an ordinary differential equation is proposed in this study. We use a flatness-like property, indeed, the solution can be expressed in terms of an infinite series depending on a flat output, its derivatives and its integrals. This series is shown to be convergent if the flat output is Gevrey of order 1 a ≤ 2 . Approximate controllability of the system is then proved.


IFAC Proceedings Volumes | 2008

Parsimonious Representation of Signals Based on Scattering Transform

Michel Sorine; Qinghua Zhang; Taous-Meriem Laleg; Emmanuelle Crépeau

A parsimonious representation of signals is a mathematic model parametrized with a small number of parameters. Such models are useful for analysis, interpolation, filtering, feature extraction, and data compression. A new parsimonious model is presented in this paper based on scattering transforms. It is closely related to the eigenvalues and eigenfunctions of the linear Schrodinger equation. The efficiency of this method is illustrated in this paper with examples of both synthetic and real signals.


Siam Journal on Control and Optimization | 2018

Feedback Stabilization and Boundary Controllability of the Korteweg--de Vries Equation on a Star-Shaped Network

Kais Ammari; Emmanuelle Crépeau

We propose a model using the Korteweg-de Vries

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Dive into the Emmanuelle Crépeau's collaboration.

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Taous-Meriem Laleg-Kirati

King Abdullah University of Science and Technology

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Christophe Prieur

Centre national de la recherche scientifique

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Michel Sorine

French Institute for Research in Computer Science and Automation

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