| Blind maximum likelihood identification of Hammerstein systems L Vanbeylen, R Pintelon, J Schoukens Automatica 44 (12), 3139-3146, 2008 | 85 | 2008 |
| Blind maximum-likelihood identification of Wiener systems L Vanbeylen, R Pintelon, J Schoukens IEEE Transactions on Signal Processing 57 (8), 3017-3029, 2009 | 76 | 2009 |
| Identification of systems with localised nonlinearity: From state-space to block-structured models A Van Mulders, J Schoukens, L Vanbeylen Automatica 49 (5), 1392-1396, 2013 | 61 | 2013 |
| A fractional approach to identify Wiener–Hammerstein systems L Vanbeylen Automatica 50 (3), 903-909, 2014 | 43 | 2014 |
| Structure discrimination in block-oriented models using linear approximations: A theoretic framework J Schoukens, R Pintelon, Y Rolain, M Schoukens, K Tiels, L Vanbeylen, ... Automatica 53, 225-234, 2015 | 38 | 2015 |
| Nonlinear LFR block-oriented model: Potential benefits and improved, user-friendly identification method L Vanbeylen IEEE Transactions on Instrumentation and Measurement 62 (12), 3374-3383, 2013 | 36 | 2013 |
| System identification in a real world J Schoukens, A Marconato, R Pintelon, Y Rolain, M Schoukens, K Tiels, ... 2014 IEEE 13th International Workshop on Advanced Motion Control (AMC), 1-9, 2014 | 23 | 2014 |
| Identification of a block-structured model with several sources of nonlinearity A Van Mulders, L Vanbeylen, K Usevich 2014 European Control Conference (ECC), 1717-1722, 2014 | 22 | 2014 |
| Using the best linear approximation with varying excitation signals for nonlinear system characterization AF Esfahani, J Schoukens, L Vanbeylen IEEE Transactions on Instrumentation and Measurement 65 (5), 1271-1280, 2016 | 15 | 2016 |
| Blind maximum-likelihood identification of Wiener and Hammerstein nonlinear block structures L Vanbeylen, R Pintelon Block-oriented nonlinear system identification, 273-291, 2010 | 15 | 2010 |
| Nonlinear induced variance of frequency response function measurements J Schoukens, K Barbé, L Vanbeylen, R Pintelon IEEE Transactions on Instrumentation and Measurement 59 (9), 2468-2474, 2009 | 11 | 2009 |
| Nonparametric analysis of the short-term electrical response of li-ion battery cells R Relan, Y Firouz, L Vanbeylen, JM Timmermans, J Schoukens 2016 Indian Control Conference (ICC), 1-6, 2016 | 8 | 2016 |
| Application of blind identification to nonlinear calibration L Vanbeylen, R Pintelon, J Schoukens IEEE Transactions on Instrumentation and Measurement 57 (8), 1771-1778, 2008 | 8 | 2008 |
| Characterization and nonlinear modelling of Li-Ion battery R Relan, L Vanbeylen, Y Firouz, J Schoukens 34th Benelux Meeting on Systems and Control, 2015 | 5 | 2015 |
| Comparison of some initialisation methods for the identification of nonlinear state-space models A Van Mulders, L Vanbeylen 2013 IEEE International Instrumentation and Measurement Technology …, 2013 | 5 | 2013 |
| Identification of nonlinear LFR systems with two nonlinearities A Van Mulders, L Vanbeylen 2013 IEEE International Instrumentation and Measurement Technology …, 2013 | 5 | 2013 |
| Initial estimates for the LFR nonlinear model structure via the best linear approximation L Vanbeylen IFAC Proceedings Volumes 45 (16), 13-18, 2012 | 5 | 2012 |
| Comparison of filter design methods to generate analytic signals L Vanbeylen, J Schoukens 2006 IEEE Instrumentation and Measurement Technology Conference Proceedings …, 2006 | 5 | 2006 |
| Nonlinear black-box identification of a mechanical benchmark system L Vanbeylen, A Van Mulders Nonlinear Dynamics, Volume 2: Proceedings of the 32nd IMAC, A Conference and …, 2014 | 4 | 2014 |
| Identification of a block-structured model with localised nonlinearity A Van Mulders, L Vanbeylen, J Schoukens IFAC Proceedings Volumes 45 (16), 1125-1130, 2012 | 4 | 2012 |
Kurt BarbeProfessor at the Vrije Universiteit BrusselVerified email at vub.ac.be
