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Mercère, Guillaume
151  results:
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1

Enhanced Recursive Total Least Squares Method With Subspace..:

El-Sherbiny, Mohamed ; Mercère, Guillaume ; Arvis, Vincent.
IEEE Control Systems Letters.  8 (2024)  - p. 1114-1119 , 2024
Link: https://doi.org/10.1109/..
 
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2

Data enabled Predictive Control of LPV systems:

Hamdan, Taleb Bou ; Coirault, Patrick ; Mercère, Guillaume.
Control Engineering Practice.  149 (2024)  - p. 105969 , 2024
Link: https://doi.org/10.1016/..
 
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3

A Robust and Regularized Algorithm for Recursive Total Leas..:

Koide, Hugo ; Vayssettes, Jeremy ; Mercère, Guillaume
IEEE Control Systems Letters.  8 (2024)  - p. 1006-1011 , 2024
Link: https://doi.org/10.1109/..
 
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4

Trend and Seasonality Model Learning with Least Squares:

, In: Data Driven Model Learning for Engineers,
Mercère, Guillaume - p. 31-71 , 2023
Link: https://doi.org/10.1007/..
 
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5

Tracking Distributed Parameters System Dynamics with Recurs..:

Bou Hamdan, Taleb ; Mercère, Guillaume ; Dairay, Thibault...
SIAM Journal on Applied Dynamical Systems.  22 (2023)  1 - p. 37-64 , 2023
Link: https://doi.org/10.1137/..
 
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6

Least Squares Estimators and Residuals Analysis:

, In: Data Driven Model Learning for Engineers,
Mercère, Guillaume - p. 73-120 , 2023
Link: https://doi.org/10.1007/..
 
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7

LPV-ARX representations of LPV state-space models with affi..:

Petreczky, Mihály ; Tóth, Roland ; Mercère, Guillaume
Systems & Control Letters.  173 (2023)  - p. 105459 , 2023
Link: https://doi.org/10.1016/..
 
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8

Residuals Modeling with AR and ARMA Representations:

, In: Data Driven Model Learning for Engineers,
Mercère, Guillaume - p. 121-157 , 2023
Link: https://doi.org/10.1007/..
 
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9

Minimal Realizations of Input–Output Behaviors by LPV State..:

Petreczky, Mihály ; Tóth, Roland ; Mercère, Guillaume
IEEE Control Systems Letters.  7 (2023)  - p. 2952-2957 , 2023
Link: https://doi.org/10.1109/..
 
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10

Data Driven Model Learning for Engineers: With Applications..:

Mercère, Guillaume - 1st ed. 2023 . , 2023
Link: https://doi.org/10.1007/..
 
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11

Singular Spectrum Analysis of Univariate Time Series:

, In: Data Driven Model Learning for Engineers,
Mercère, Guillaume - p. 9-30 , 2023
Link: https://doi.org/10.1007/..
 
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12

Basic Concepts of Time Series Modeling:

, In: Data Driven Model Learning for Engineers,
Mercère, Guillaume - p. 1-7 , 2023
Link: https://doi.org/10.1007/..
 
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13

A Last Illustration to Conclude:

, In: Data Driven Model Learning for Engineers,
Mercère, Guillaume - p. 159-168 , 2023
Link: https://doi.org/10.1007/..
 
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14

Model learning of the tire–road friction slip dependency un..:

Mussot, Vincent ; Mercère, Guillaume ; Dairay, Thibault..
Control Engineering Practice.  121 (2022)  - p. 105048 , 2022
Link: https://doi.org/10.1016/..
 
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15

MIMO system identification using common denominator and num..:

Fazzi, Antonio ; Grossmann, Benjamin ; Mercère, Guillaume.
International Journal of Adaptive Control and Signal Processing.  36 (2022)  4 - p. 870-881 , 2022
Link: https://doi.org/10.1002/..
 
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