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ORCIDGuillaume Mercère
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2020 – today
- 2024
[j25]Hugo Koide
, Jérémy Vayssettes, Guillaume Mercère:
A Robust and Regularized Algorithm for Recursive Total Least Squares Estimation. IEEE Control. Syst. Lett. 8: 1006-1011 (2024)- [j24]Mohamed M. El-Sherbiny, Guillaume Mercère, Vincent Arvis, Frédéric Biesse:
Enhanced Recursive Total Least Squares Method With Subspace Tracking and Noise Covariance Estimation. IEEE Control. Syst. Lett. 8: 1114-1119 (2024) - 2023
- [j23]Mihály Petreczky, Roland Tóth, Guillaume Mercère:
Minimal Realizations of Input-Output Behaviors by LPV State-Space Representations With Affine Dependence. IEEE Control. Syst. Lett. 7: 2952-2957 (2023) - [j22]Mihály Petreczky, Roland Tóth, Guillaume Mercère:
LPV-ARX representations of LPV state-space models with affine dependence. Syst. Control. Lett. 173: 105459 (2023) - [j21]Taleb Bou Hamdan, Guillaume Mercère, Thibault Dairay, Raphaël Meunier, Pascal Tremblay, Patrick Coirault:
Tracking Distributed Parameters System Dynamics with Recursive Dynamic Mode Decomposition with Control. SIAM J. Appl. Dyn. Syst. 22(1): 37-64 (2023) - 2020
- [j20]Olivier Prot, Guillaume Mercère:
Combining Linear Algebra and Numerical Optimization for Gray-Box Affine State-Space Model Identification. IEEE Trans. Autom. Control. 65(8): 3272-3285 (2020) - [j19]Guillaume Mercère, Alexander Medvedev, Daniel E. Rivera, Caterina M. Scoglio, Bayu Jayawardhana:
Foreword Identification and Control in Biomedical Applications. IEEE Trans. Control. Syst. Technol. 28(1): 1-2 (2020) - [c16]Bassem Boukhebouz, Guillaume Mercère, Mathieu Grossard, Xavier Lamy, Edouard Laroche:
Identification of single flexible-joint robot dynamics: a nonparametric approach. MED 2020: 357-362
2010 – 2019
- 2019
- [j18]Mohamed Farah, Guillaume Mercère, Régis Ouvrard, Thierry Poinot:
Combining least-squares and gradient-based algorithms for the identification of a co-current flow heat exchanger. Int. J. Control 92(1): 191-203 (2019) - 2018
- [j17]Debarghya Ghosh, Xavier Bombois, Julien Huillery, Gérard Scorletti, Guillaume Mercère:
Optimal identification experiment design for LPV systems using the local approach. Autom. 87: 258-266 (2018) - [j16]José A. Ramos, Guillaume Mercère:
A stochastic subspace system identification algorithm for state-space systems in the general 2-D Roesser model form. Int. J. Control 91(12): 2743-2771 (2018) - [i6]José A. Ramos, Guillaume Mercère:
Computation of the State Bias and Initial States for Stochastic State Space Systems in the General 2-D Roesser Model Form. CoRR abs/1801.08409 (2018) - 2017
- [j15]Ziad Alkhoury, Mihály Petreczky, Guillaume Mercère:
Identifiability of affine linear parameter-varying models. Autom. 80: 62-74 (2017) - [j14]Ivan Markovsky, Guillaume Mercère:
Subspace identification with constraints on the impulse response. Int. J. Control 90(8): 1728-1735 (2017) - [j13]José A. Ramos, Guillaume Mercère:
Image modeling based on a 2-D stochastic subspace system identification algorithm. Multidimens. Syst. Signal Process. 28(4): 1133-1165 (2017) - [j12]Mihály Petreczky, Roland Tóth, Guillaume Mercère:
Realization Theory for LPV State-Space Representations With Affine Dependence. IEEE Trans. Autom. Control. 62(9): 4667-4674 (2017) - [j11]Ahmed Alenany, Guillaume Mercère, José A. Ramos:
Subspace Identification of 2-D CRSD Roesser Models With Deterministic-Stochastic Inputs: A State Computation Approach. IEEE Trans. Control. Syst. Technol. 25(3): 1108-1115 (2017) - [i5]Ziad Alkhoury, Mihály Petreczky, Guillaume Mercère:
Comparing global input-output behavior of frozen-equivalent LPV state-space models. CoRR abs/1703.03679 (2017) - 2016
- [j10]Jérémy Vayssettes, Guillaume Mercère, Olivier Prot:
New developments for matrix fraction descriptions: A fully-parametrised approach. Autom. 66: 15-24 (2016) - [j9]José A. Ramos, Guillaume Mercère:
Subspace algorithms for identifying separable-in-denominator 2D systems with deterministic-stochastic inputs. Int. J. Control 89(12): 2584-2610 (2016) - [j8]Daniel Vizer, Guillaume Mercère, Olivier Prot, Edouard Laroche:
H∞-norm-based optimization for the identification of gray-box LTI state-space model parameters. Syst. Control. Lett. 92: 34-41 (2016) - [c15]Guillaume Mercère, Ivan Markovsky, José A. Ramos:
Innovation-based subspace identification in open- and closed-loop. CDC 2016: 2951-2956 - [c14]Ziad Alkhoury, Mihály Petreczky, Guillaume Mercère:
Structural properties of affine LPV to LFR transformation: Minimality, input-output behavior and identifiability. CDC 2016: 3781-3786 - [i4]Guillaume Mercère:
Prior knowledge and Markov parameters of linear time-invariant models. CoRR abs/1606.08422 (2016) - [i3]Ziad Alkhoury, Mihály Petreczky, Guillaume Mercère:
Structural properties of LPV to LFR transformation: minimality, input-output behavior and identifiability. CoRR abs/1608.07060 (2016) - 2015
- [c13]Jérémy Vayssettes, Guillaume Mercère, Yannick Bury, Valerie Pommier-Budinger:
Structured model identification algorithm based on constrained optimisation. ECC 2015: 1285-1290 - [c12]Mohamed Farah, Régis Ouvrard, Guillaume Mercère, Thierry Poinot, Jean-Denis Gabano:
Reinitialized partial moments for the identification of the heat equation parameters. ECC 2015: 1303-1308 - 2014
- [j7]Jérémy Vayssettes, Guillaume Mercère, Pierre Vacher, Raymond A. de Callafon:
Frequency-domain identification of aircraft structural modes from short-duration flight tests. Int. J. Control 87(7): 1352-1372 (2014) - [j6]Guillaume Mercère, Olivier Prot, José A. Ramos:
Identification of Parameterized Gray-Box State-Space Systems: From a Black-Box Linear Time-Invariant Representation to a Structured One. IEEE Trans. Autom. Control. 59(11): 2873-2885 (2014) - [c11]Jérémy Vayssettes, Guillaume Mercère:
A new parametrisation of matrix fraction descriptions to improve gradient-based optimisation methods. CDC 2014: 1011-1016 - [c10]Mohamed Farah, Guillaume Mercère, Régis Ouvrard, Thierry Poinot, José A. Ramos:
Identification of 2D Roesser models by using linear fractional transformations. ECC 2014: 382-387 - [c9]Daniel Vizer, Guillaume Mercère:
H∞-based LPV model identification from local experiments with a gap metric-based operating point selection. ECC 2014: 388-393 - [i2]Guillaume Mercère, José A. Ramos, Olivier Prot:
Identification of parameterized gray-box state-space systems: from a black-box linear time-invariant representation to a structured one: detailed derivation of the gradients involved in the cost functions. CoRR abs/1406.0623 (2014) - 2013
- [c8]Daniel Vizer, Guillaume Mercère, Olivier Prot, Edouard Laroche, Marco Lovera:
Linear fractional LPV model identification from local experiments: An H∞-based optimization technique. CDC 2013: 4559-4564 - [c7]Daniel Vizer, Guillaume Mercère, Olivier Prot, José A. Ramos:
A local approach framework for black-box and gray-box LPV system identification. ECC 2013: 1916-1921 - [c6]José A. Ramos, Guillaume Mercère, Olivier Prot:
Identifying second-order models of mechanical structures in physical coordinates: An orthogonal complement approach. ECC 2013: 3973-3978 - [i1]Guillaume Mercère:
Regression techniques for subspace-based black-box state-space system identification: an overview. CoRR abs/1305.7121 (2013) - 2012
- [c5]Mihály Petreczky, Guillaume Mercère:
Affine LPV systems: Realization theory, input-output equations and relationship with linear switched systems. CDC 2012: 4511-4516 - 2011
- [j5]Guillaume Mercère, Laurent Bako:
Parameterization and identification of multivariable state-space systems: A canonical approach. Autom. 47(8): 1547-1555 (2011) - [j4]Guillaume Mercère, Halldor Pálsson, Thierry Poinot:
Continuous-Time Linear Parameter-Varying Identification of a Cross Flow Heat Exchanger: A Local Approach. IEEE Trans. Control. Syst. Technol. 19(1): 64-76 (2011) - [c4]Guillaume Mercère, Marco Lovera, Edouard Laroche:
Identification of a flexible robot manipulator using a linear parameter-varying descriptor state-space structure. CDC/ECC 2011: 818-823 - 2010
- [c3]Wafa Farah, Guillaume Mercère, Thierry Poinot:
System identification and uncertainty domain determination: a subspace-based approach. ACC 2010: 6501-6506
2000 – 2009
- 2009
- [j3]Laurent Bako, Guillaume Mercère, Stéphane Lecoeuche:
On-line structured subspace identification with application to switched linear systems. Int. J. Control 82(8): 1496-1515 (2009) - 2008
- [j2]Guillaume Mercère, Laurent Bako, Stéphane Lecoeuche:
Propagator-based methods for recursive subspace model identification. Signal Process. 88(3): 468-491 (2008) - [c2]Laurent Bako, Guillaume Mercère, Stéphane Lecoeuche:
A least squares approach to the subspace identification problem. CDC 2008: 3281-3286 - 2007
- [j1]Guillaume Mercère, Marco Lovera:
Convergence analysis of instrumental variable recursive subspace identification algorithms. Autom. 43(8): 1377-1386 (2007) - [c1]Marco Lovera, Guillaume Mercère:
Identification for gain-scheduling: a balanced subspace approach. ACC 2007: 858-863
Coauthor Index
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