Luc Meyer
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View article: Cluster Globally, Reduce Locally: Scalable Efficient Dictionary Compression for Magnetic Resonance Fingerprinting
Cluster Globally, Reduce Locally: Scalable Efficient Dictionary Compression for Magnetic Resonance Fingerprinting Open
With the rapid advancements in medical data acquisition and production, increasingly richer representations exist to characterize medical information. However, such large-scale data do not usually meet computing resource constraints or alg…
View article: Massive analysis of multi-angular images by inverse regression of reflectance models for the physical characterization of planetary surfaces.
Massive analysis of multi-angular images by inverse regression of reflectance models for the physical characterization of planetary surfaces. Open
Remote sensing of the Earth and other planets of the Solar System return huge volumes of data. Retrieving information of interest from such data may consist of inverting a direct or forward physical model, which theoretically describes how…
View article: Set-membership target search and tracking within an unknown cluttered area using cooperating UAVs equipped with vision systems
Set-membership target search and tracking within an unknown cluttered area using cooperating UAVs equipped with vision systems Open
This paper addresses the problem of target search and tracking using a fleet of cooperating UAVs evolving in some unknown region of interest containing an a priori unknown number of moving ground targets. Each drone is equipped with an emb…
View article: Filtered High Gain Interval Observer for LPV Systems with Bounded Uncertainties
Filtered High Gain Interval Observer for LPV Systems with Bounded Uncertainties Open
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View article: Massive analysis of multidimensional astrophysical data by inverse regression of physical models
Massive analysis of multidimensional astrophysical data by inverse regression of physical models Open
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View article: Interval Observer for Switching Discrete-Time Linear Systems with Unknown Switching Sequences
Interval Observer for Switching Discrete-Time Linear Systems with Unknown Switching Sequences Open
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View article: Set-membership vs. stochastic approaches for target localization with UAVs
Set-membership vs. stochastic approaches for target localization with UAVs Open
Searching and tracking mobile targets rely most often on modeling the uncertainty and various perturbations by stochastic processes. The detection and location of the targets are performed with Bayesian estimation, which reliability and re…
View article: Robust collaborative 3D target localization using UAVs with state uncertainties
Robust collaborative 3D target localization using UAVs with state uncertainties Open
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View article: Localization of partially hidden targets using a fleet of UAVs via robust bounded-error estimation
Localization of partially hidden targets using a fleet of UAVs via robust bounded-error estimation Open
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View article: A new $H_{\infty}$ Observer for continuous LPV systems affected by Unknown Inputs
A new $H_{\infty}$ Observer for continuous LPV systems affected by Unknown Inputs Open
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View article: Guaranteed Interval State Estimation for Linear Parameter Varying Systems with Unknown Inputs
Guaranteed Interval State Estimation for Linear Parameter Varying Systems with Unknown Inputs Open
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View article: Target search and tracking using a fleet of UAVs in presence of decoys and obstacles
Target search and tracking using a fleet of UAVs in presence of decoys and obstacles Open
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View article: Bounded-error target localization and tracking in presence of decoys using a fleet of UAVs
Bounded-error target localization and tracking in presence of decoys using a fleet of UAVs Open
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View article: A Polytopic Box Particle Filter for state estimation of Non Linear Discrete-Time Systems
A Polytopic Box Particle Filter for state estimation of Non Linear Discrete-Time Systems Open
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View article: Robust Functional Interval Observer for Multivariable Linear Systems
Robust Functional Interval Observer for Multivariable Linear Systems Open
The study of a continuous-time multivariable linear system may not need the knowledge of the entire internal state vector, but only of a linear function of it. In this case, instead of designing a complete observer, only a functional (also…
View article: A new unbiased minimum variance observer for stochastic LTV systems with unknown inputs
A new unbiased minimum variance observer for stochastic LTV systems with unknown inputs Open
This paper is devoted to the state and input estimation of a linear time varying system in the presence of an unknown input (UI) in both state and measurement equations, and affected by Gaussian noises. The classical rank condition used in…
View article: State and Unknown Input <i>H</i><sub><i>∞</i></sub> Observers for Discrete‐Time LPV Systems
State and Unknown Input <i>H</i><sub><i>∞</i></sub> Observers for Discrete‐Time LPV Systems Open
This paper proposes state and unknown input (UI) observers for linear parameter varying (LPV) systems affected by UI and perturbations in both state and measurement equations. The estimation is done by minimizing the L 2 transfer between t…
View article: A new Minimum Variance Observer for Stochastic LPV systems with Unknown Inputs
A new Minimum Variance Observer for Stochastic LPV systems with Unknown Inputs Open
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