G. Mercère

发表

Identification of switched linear state space models without minimum dwell time

R. Vidal, L. Bako, G. Mercère, 2009 .

Identifiability of affine linear parameter-varying models

Mihály Petreczky, Guillaume Mercère, Ziad Alkhoury, 2017, Autom..

Linear fractional LPV model identification from local experiments using an H∞-based glocal approach

E. Laroche, G. Mercère, Daniel Vizer, 2015 .

A Null-Space-Based Technique for the Estimation of Linear-Time Invariant Structured State-Space Representations

J. Ramos, G. Mercère, O. Prot, 2012 .

Convergence analysis of instrumental variable recursive subspace identification algorithms

Marco Lovera, Guillaume Mercère, M. Lovera, 2007, Autom..

Recursive subspace identification based on instrumental variable unconstrained quadratic optimization

M. Lovera, G. Mercère, S. Lecoeuche, 2004 .

A New Recursive Method for Subspace Identification of Noisy Systems: EIVPM

G. Mercère, S. Lecoeuche, C. Vasseur, 2003 .

Sequential correlation based propagator algorithm for recursive subspace identification

G. Mercère, C. Vasseur, S. Lecœuche, 2005 .

Comparison of a gradient-based algorithm and a proximity control algorithm for gray-box LTI model identification

E. Laroche, B. Kiss, G. Mercère, 2015, 2015 16th IEEE International Symposium on Computational Intelligence and Informatics (CINTI).

Initialization of Gradient-based Optimization Algorithms for the Identification of Structured State-Space Models

Guillaume Mercère, Olivier Prot, G. Mercère, 2011 .

RECURSIVE SUBSPACE IDENTIFICATION OF HAMMERSTEIN MODELS BASED ON LS-SVM

L. Bako, G. Mercère, S. Lecoeuche, 2007 .

Subspace based methods for continuous-time model identification of MIMO systems from filtered sampled data

Hugues Garnier, Marion Gilson, Guillaume Mercere, 2007, 2007 European Control Conference (ECC).

Identification of Multivariable Canonical State-Space Representations

L. Bako, G. Mercère, S. Lecoeuche, 2009 .

System identification and uncertainty domain determination: a subspace-based approach

Thierry Poinot, G. Mercère, T. Poinot, 2010, Proceedings of the 2010 American Control Conference.

Bounded-error uncertainty domain description for continuous-time state-space model

G. Mercère, T. Poinot, W. Farah, 2012 .

LINEAR PARAMETER-VARYING IDENTIFICATION OF A CROSS FLOW HEAT EXCHANGER FOR FOULING DETECTION : A PRELIMARY STUDY

H. Pálsson, G. Mercère, T. Poinot, 2009 .

Filtered-Covariance Function-Based Subspace Identification with Bound Effects Integration

R. D. Callafon, G. Mercère, J. Vayssettes, 2014 .

An Iterative Algorithm for Modal Analysis based on Structured Matrix Fractions

G. Mercère, P. Vacher, J. Vayssettes, 2012 .

Image modeling based on a 2-D stochastic subspace system identification algorithm

J. Ramos, G. Mercère, 2016, Multidimensional Systems and Signal Processing.

Propagator-based methods for recursive subspace model identification

Stéphane Lecoeuche, Laurent Bako, Guillaume Mercère, 2008, Signal Process..

Tracking Distributed Parameters System Dynamics with Recursive Dynamic Mode Decomposition with Control

G. Mercère, P. Tremblay, P. Coirault, 2023, SIAM J. Appl. Dyn. Syst..

Continuous-Time Linear Parameter-Varying Identification of a Cross Flow Heat Exchanger: A Local Approach

Thierry Poinot, Guillaume Mercère, Halldor Pálsson, 2011, IEEE Transactions on Control Systems Technology.

Parameterization and identification of multivariable state-space systems: A canonical approach

Laurent Bako, Guillaume Mercère, L. Bako, 2011, Autom..

New developments for matrix fraction descriptions: A fully-parametrised approach

Guillaume Mercère, Olivier Prot, Jérémy Vayssettes, 2016, Autom..

Structured model identification algorithm based on constrained optimisation

Guillaume Mercère, Valerie Pommier-Budinger, Jérémy Vayssettes, 2015, 2015 European Control Conference (ECC).

New developments for experimental modal analysis of aircraft structures

Guillaume Mercère, J. Vayssettes, G. Mercère, 2015 .

Noise covariance matrix estimation with subspace model identification for Kalman filtering

Vincent Mussot, Guillaume Mercère, Jérémy Vayssettes, 2021, International Journal of Adaptive Control and Signal Processing.

A stochastic subspace system identification algorithm for state-space systems in the general 2-D Roesser model form

Guillaume Mercère, José A. Ramos, J. Ramos, 2018, Int. J. Control.

Image modeling based on a 2-D stochastic subspace system identification algorithm

Guillaume Mercère, José A. Ramos, J. Ramos, 2016, Multidimensional Systems and Signal Processing.

Subspace algorithms for identifying separable-in-denominator 2D systems with deterministic–stochastic inputs

Guillaume Mercère, José A. Ramos, J. Ramos, 2016, Int. J. Control.

Identification of 2D Roesser models by using linear fractional transformations

Régis Ouvrard, Thierry Poinot, Guillaume Mercère, 2014, 2014 European Control Conference (ECC).

Subspace Identification of 2-D CRSD Roesser Models With Deterministic-Stochastic Inputs: A State Computation Approach

Ahmed Alenany, Guillaume Mercère, José A. Ramos, 2017, IEEE Transactions on Control Systems Technology.

A methodology to enhance the convergence of Output Error identification algorithms

Thierry Poinot, Antoine Abche, Jean-Claude Trigeassou, 2007, 2007 European Control Conference (ECC).

Identification of single flexible-joint robot dynamics: a nonparametric approach

Mathieu Grossard, Guillaume Mercère, Xavier Lamy, 2020, 2020 28th Mediterranean Conference on Control and Automation (MED).

Combining Linear Algebra and Numerical Optimization for Gray-Box Affine State-Space Model Identification

Guillaume Mercère, Olivier Prot, G. Mercère, 2020, IEEE Transactions on Automatic Control.

Innovation-based subspace identification in open- and closed-loop

Ivan Markovsky, Guillaume Mercère, José A. Ramos, 2016, 2016 IEEE 55th Conference on Decision and Control (CDC).

Prior knowledge and Markov parameters of linear time-invariant models pdf

Guillaume Mercère, G. Mercère, 2016, ArXiv.

H∞-norm-based optimization for the identification of gray-box LTI state-space model parameters

Edouard Laroche, Guillaume Mercère, Daniel Vizer, 2016, Syst. Control. Lett..

Identification of Parameterized Gray-Box State-Space Systems: From a Black-Box Linear Time-Invariant Representation to a Structured One

José A. Ramos, Guillaume Mercère, Olivier Prot, 2014, IEEE Transactions on Automatic Control.

Frequency-domain identification of aircraft structural modes from short-duration flight tests

Raymond A. de Callafon, Guillaume Mercère, Jérémy Vayssettes, 2014, Int. J. Control.

Regression techniques for subspace-based black-box state-space system identification: an overview pdf

Guillaume Mercère, G. Mercère, 2013, ArXiv.

Model learning of the tire–road friction slip dependency under standard driving conditions

V. Arvis, G. Mercère, T. Dairay, 2022, Control Engineering Practice.

Recursive subspace identification for in flight modal analysis of airplanes

Bart De Moor, Katrien De Cock, Guillaume Mercère, 2006 .

Combining least-squares and gradient-based algorithms for the identification of a co-current flow heat exchanger

Régis Ouvrard, Thierry Poinot, Guillaume Mercère, 2019, Int. J. Control.

On-line structured subspace identification with application to switched linear systems

Stéphane Lecoeuche, Laurent Bako, Guillaume Mercère, 2009, Int. J. Control.

Linear fractional LPV model identification from local experiments: An H∞-based optimization technique

Edouard Laroche, Marco Lovera, Guillaume Mercère, 2013, 52nd IEEE Conference on Decision and Control.

Realization Theory for LPV State-Space Representations With Affine Dependence

Roland Tóth, Mihály Petreczky, Guillaume Mercère, 2016, IEEE Transactions on Automatic Control.

Subspace identification with constraints on the impulse response

Ivan Markovsky, Guillaume Mercère, I. Markovsky, 2017, Int. J. Control.

An ∞ -Norm-Based Approach for Operating Point Selection and LPV Model Identification from Local Experiments

Guillaume Mercère, G. Mercère, Daniel Vizer, 2014 .

H∞-based LPV model identification from local experiments with a gap metric-based operating point selection

Guillaume Mercère, Daniel Vizer, G. Mercère, 2014, 2014 European Control Conference (ECC).

Recursive subspace identification of Hammerstein models based on least squares support vector machines

Stéphane Lecoeuche, Marco Lovera, Laurent Bako, 2009 .

Combining Analytic and Experimental Information for Linear Parameter-Varying Model Identification: Application to a Flexible Robotic Manipulator

Guillaume Mercère, Daniel Vizer, Olivier Prot, 2014 .

Identification and Uncertainty Domain Quantification: Experimental Validation on a ‘Smart’ Wind Turbine

G. Mercère, T. Poinot, J. Wingerden, 2011 .

MIMO system identification using common denominator and numerators with known degrees

I. Markovsky, G. Mercère, Antonio Fazzi, 2022, International Journal of Adaptive Control and Signal Processing.

Dynamic models for bird population—A parameter-varying partial differential equation identification approach

Régis Ouvrard, Thierry Poinot, Frédéric Jiguet, 2019, Control Engineering Practice.

Reinitialized partial moments for the identification of the heat equation parameters

Régis Ouvrard, Thierry Poinot, Jean-Denis Gabano, 2015, 2015 European Control Conference (ECC).

A local approach framework for black-box and gray-box LPV system identification

Guillaume Mercère, José A. Ramos, Daniel Vizer, 2013, 2013 European Control Conference (ECC).

Analytical Modelling and Grey-box Identification of a Flexible Arm using a Linear Parameter-varying Model

Edouard Laroche, Guillaume Mercère, Olivier Prot, 2012 .

A least squares approach to the subspace identification problem

Stéphane Lecoeuche, Laurent Bako, Guillaume Mercère, 2008, 2008 47th IEEE Conference on Decision and Control.

Minimal Realizations of Input–Output Behaviors by LPV State-Space Representations With Affine Dependence

M. Petreczky, G. Mercère, Roland T'oth, 2023, IEEE Control Systems Letters.

Phase estimation of a 2D fringe pattern using a monogenic-based multiscale analysis.

Hermine Biermé, Guillaume Mercère, Philippe Carré, 2019, Journal of the Optical Society of America. A, Optics, image science, and vision.

Quantification of model uncertainty for a state-space system

Jan-Willem van Wingerden, Thierry Poinot, Guillaume Mercère, 2010 .

MODELLING OF NON STATIONARY SYSTEMS BASED ON A DYNAMICAL DECISION SPACE

S. Lecœuche, Guillaume Mercère, H. Amadou-Boubacar, 2006 .