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ORCIDLaurent Vanbeylen
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Journal Articles
- 2016
[j10]Alireza Fakhrizadeh Esfahani, Johan Schoukens
, Laurent Vanbeylen:
Using the Best Linear Approximation With Varying Excitation Signals for Nonlinear System Characterization. IEEE Trans. Instrum. Meas. 65(5): 1271-1280 (2016)- 2015
- [j9]Johan Schoukens, Rik Pintelon, Yves Rolain, Maarten Schoukens, Koen Tiels, Laurent Vanbeylen, Anne Van Mulders, Gerd Vandersteen:
Structure discrimination in block-oriented models using linear approximations: A theoretic framework. Autom. 53: 225-234 (2015) - 2014
- [j8]Laurent Vanbeylen:
A fractional approach to identify Wiener-Hammerstein systems. Autom. 50(3): 903-909 (2014) - [j7]Laurent Vanbeylen, Anne Van Mulders, Amjad Abu-Rmileh:
Identification of a nonlinear model for a glucoregulatory benchmark problem. Biomed. Signal Process. Control. 13: 168-173 (2014) - 2013
- [j6]Anne Van Mulders, Johan Schoukens, Laurent Vanbeylen:
Identification of systems with localised nonlinearity: From state-space to block-structured models. Autom. 49(5): 1392-1396 (2013) - [j5]Laurent Vanbeylen:
Nonlinear LFR Block-Oriented Model: Potential Benefits and Improved, User-Friendly Identification Method. IEEE Trans. Instrum. Meas. 62(12): 3374-3383 (2013) - 2010
- [j4]Johan Schoukens, Kurt Barbé, Laurent Vanbeylen, Rik Pintelon:
Nonlinear Induced Variance of Frequency Response Function Measurements. IEEE Trans. Instrum. Meas. 59(9): 2468-2474 (2010) - 2009
- [j3]Laurent Vanbeylen, Rik Pintelon, Johan Schoukens:
Blind maximum-likelihood identification of wiener systems. IEEE Trans. Signal Process. 57(8): 3017-3029 (2009) - 2008
- [j2]Laurent Vanbeylen, Rik Pintelon, Johan Schoukens:
Blind maximum likelihood identification of Hammerstein systems. Autom. 44(12): 3139-3146 (2008) - [j1]Laurent Vanbeylen, Rik Pintelon, Johan Schoukens:
Application of Blind Identification to Nonlinear Calibration. IEEE Trans. Instrum. Meas. 57(8): 1771-1778 (2008)
Conference and Workshop Papers
- 2015
- [c8]Alireza Fakhrizadeh Esfahani, Johan Schoukens, Laurent Vanbeylen:
Design of excitations for structure discrimination of nonlinear systems, using the best linear approximation. I2MTC 2015: 234-239 - 2014
- [c7]Johan Schoukens, Anna Marconato, Rik Pintelon, Yves Rolain, Maarten Schoukens, Koen Tiels, Laurent Vanbeylen, Gerd Vandersteen, Anne Van Mulders:
System identification in a real world. AMC 2014: 1-9 - [c6]Anne Van Mulders, Laurent Vanbeylen, Konstantin Usevich:
Identification of a block-structured model with several sources of nonlinearity. ECC 2014: 1717-1722 - 2013
- [c5]Laurent Vanbeylen, Ebrahim Louarroudi, Rik Pintelon:
How nonlinear system identification can benefit from recent time-varying tools: The time-varying best linear approximation. CDC 2013: 4913-4918 - [c4]Laurent Vanbeylen:
Improved, user-friendly initialization for the identification of the nonlinear LFR block-oriented model. I2MTC 2013: 108-113 - [c3]Anne Van Mulders, Laurent Vanbeylen:
Identification of nonlinear LFR systems with two nonlinearities. I2MTC 2013: 365-370 - [c2]Anne Van Mulders, Laurent Vanbeylen:
Comparison of some initialisation methods for the identification of nonlinear state-space models. I2MTC 2013: 807-811 - 2011
- [c1]Laurent Vanbeylen, Anne Van Mulders, Johan Schoukens:
A state-space view on locally-stable, globally-unstable nonlinear models driven by Gaussian burst inputs. CDC/ECC 2011: 6060-6065
Informal and Other Publications
- 2018
- [i2]Johan Schoukens, Rik Pintelon, Yves Rolain, Maarten Schoukens, Koen Tiels, Laurent Vanbeylen, Anne Van Mulders, Gerd Vandersteen:
Structure Discrimination in Block-Oriented Models Using Linear Approximations: A Theoretic Framework. CoRR abs/1804.09648 (2018) - [i1]Alireza Fakhrizadeh Esfahani, Johan Schoukens, Laurent Vanbeylen:
Using the Best Linear Approximation With Varying Excitation Signals for Nonlinear System Characterization. CoRR abs/1805.04575 (2018)
Coauthor Index
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