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Dr. Lieve Lauwers
Dr. Lieve Lauwers
postdoctoral researcher
Dirección de correo verificada de vub.ac.be
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Identification of nonlinear systems using polynomial nonlinear state space models
J Paduart, L Lauwers, J Swevers, K Smolders, J Schoukens, R Pintelon
Automatica 46 (4), 647-656, 2010
3412010
Identification of a Wiener–Hammerstein system using the polynomial nonlinear state space approach
J Paduart, L Lauwers, R Pintelon, J Schoukens
Control Engineering Practice 20 (11), 1133-1139, 2012
702012
Identification of Wiener–Hammerstein models: Two algorithms based on the best split of a linear model applied to the SYSID'09 benchmark problem
J Sjöberg, L Lauwers, J Schoukens
Control Engineering Practice 20 (11), 1119-1125, 2012
472012
Linearizing oscillometric blood-pressure measurements:(Non) sense?
W Van Moer, L Lauwers, D Schoors, K Barbe
IEEE Transactions on Instrumentation and Measurement 60 (4), 1267-1275, 2011
382011
Estimating the parameters of a Rice distribution: A Bayesian approach
L Lauwers, K Barbé, W Van Moer, R Pintelon
2009 IEEE Instrumentation and Measurement Technology Conference, 114-117, 2009
342009
A nonlinear block structure identification procedure using frequency response function measurements
L Lauwers, J Schoukens, R Pintelon, M Enqvist
IEEE Transactions on Instrumentation and Measurement 57 (10), 2257-2264, 2008
302008
Identification of a wiener-hammerstein system using the polynomial nonlinear state space approach
J Paduart, L Lauwers, R Pintelon, J Schoukens
IFAC Proceedings Volumes 42 (10), 1080-1085, 2009
292009
Some practical applications of the best linear approximation in nonlinear block-oriented modelling
L Lauwers
Vrije Universiteit Brussel, 2011
202011
Fractional models for modeling complex linear systems under poor frequency resolution measurements
K Barbé, OJO Rodriguez, W Van Moer, L Lauwers
Digital Signal Processing 23 (4), 1084-1093, 2013
172013
Functional magnetic resonance imaging: An improved short record signal model
K Barbe, W Van Moer, L Lauwers
IEEE Transactions on Instrumentation and Measurement 60 (5), 1724-1731, 2010
172010
Modelling of Wiener-Hammerstein systems via the best linear approximation
L Lauwers, R Pintelon, J Schoukens
IFAC Proceedings Volumes 42 (10), 1098-1103, 2009
162009
Analyzing Rice distributed functional magnetic resonance imaging data: a Bayesian approach
L Lauwers, K Barbé, W Van Moer, R Pintelon
Measurement Science and Technology 21 (11), 115804, 2010
142010
Nonlinear structure analysis using the best linear approximation
L Lauwers, J Schoukens, R Pintelon, M Enqvist
Proceedings of ISMA2006: International Conference on Noise and Vibration …, 2006
142006
Oscillometric blood pressure measurements: A signal analysis
K Barbé, W Van Moer, L Lauwers
Journal of Physics: Conference Series 238 (1), 012052, 2010
132010
A guaranteed blind and automatic probability density estimation of raw measurements
K Barbé, LG Fuentes, L Barford, L Lauwers
IEEE Transactions on Instrumentation and Measurement 63 (9), 2120-2128, 2014
122014
A simple nonparametric preprocessing technique to correct for nonstationary effects in measured data
K Barbé, W Van Moer, L Lauwers, N Björsell
IEEE Transactions on Instrumentation and Measurement 61 (8), 2085-2094, 2012
72012
Some applications of the best linear approximation in nonlinear block-oriented modelling
L Lauwers
Ph. D. dissertation, Dept. Fundam. Elect. Instrum., Vrije Univ., Brussel …, 2011
72011
Initial Estimates for Wiener-Hammerstein Models using the Best Linear Approximation
L Lauwers, J Schoukens, R Pintelon
2008 IEEE Instrumentation and Measurement Technology Conference, 928-932, 2008
72008
Improved variance estimates of FRF measurements in the presence of nonlinear distortions via overlap
K Barbé, R Pintelon, J Schoukens, L Lauwers
IEEE Transactions on Instrumentation and Measurement 60 (1), 300-309, 2010
62010
Identification of Wiener–Hammerstein systems using the best linear approximation
L Lauwers, J Schoukens
Block-oriented nonlinear system identification, 209-225, 2010
52010
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20