| Filtering and system identification: a least squares approach M Verhaegen, V Verdult Cambridge University Press, 2007 | 1153 | 2007 |
| Subspace identification of multivariable linear parameter-varying systems V Verdult, M Verhaegen Automatica 38 (5), 805-814, 2002 | 255 | 2002 |
| Nonlinear system identification: a state-space approach V Verdult University of Twente, 2002 | 250 | 2002 |
| Kernel methods for subspace identification of multivariable LPV and bilinear systems V Verdult, M Verhaegen Automatica 41 (9), 1557-1565, 2005 | 205 | 2005 |
| Wiener model identification and predictive control for dual composition control of a distillation column HHJ Bloemen, CT Chou, TJJ Van den Boom, V Verdult, M Verhaegen, ... Journal of Process control 11 (6), 601-620, 2001 | 150 | 2001 |
| Subspace identification of piecewise linear systems V Verdult, M Verhaegen Proceedings of the 43rd IEEE Conference on Decision and Control, 3838-3843, 2004 | 119 | 2004 |
| Identification of composite local linear state-space models using a projected gradient search V Verdult, L Ljung, M Verhaegen International Journal of Control 75 (16-17), 1385-1398, 2002 | 85 | 2002 |
| Identification of linear parameter-varying state-space models with application to helicopter rotor dynamics V Verdult, M Lovera, M Verhaegen International Journal of Control 77 (13), 1149-1159, 2004 | 73 | 2004 |
| Fault detection and identification for wind turbine systems: a closed-loop analysis S Donders, V Verdult, M Verhaegen Proceedings of the ISMA International Conference on Noise and Vibration …, 2004 | 46 | 2004 |
| Identification of multivariable bilinear state space systems based on subspace techniques and separable least squares optimization V Verdult, M Verhaegen International Journal of Control 74 (18), 1824-1836, 2001 | 45 | 2001 |
| A switching detection method based on projected subspace classification J Borges, V Verdult, M Verhaegen, MA Botto Proceedings of the 44th IEEE Conference on Decision and Control, 344-349, 2005 | 44 | 2005 |
| Fault detection and identification of actuator faults using linear parameter varying models R Hallouzi, V Verdult, R Babuska, M Verhaegen Proceedings of the 16th IFAC World Congress, 119-124, 2005 | 40 | 2005 |
| Filtering and system identification: an introduction to using Matlab software M Verhaegen, V Verdult, N Bergboer Delft University of Technology, 2007 | 35 | 2007 |
| An efficient implementation of Maximum Likelihood identification of LTI state-space models by local gradient search N Bergboer, V Verdult, M Verhaegen Proceedings of the 41st IEEE Conference on Decision and Control, 616-621, 2002 | 32 | 2002 |
| Least squares support vector machines for kernel CCA in nonlinear state-space identification V Verdult, JAK Suykens, J Boets, I Goethals, B De Moor Proceedings of the 16th International Symposium on Mathematical Theory of …, 2004 | 27 | 2004 |
| Identification of fully parameterized linear and nonlinear state-space systems by projected gradient search V Verdult, N Bergboer, M Verhaegen Proceedings of the 13th IFAC Symposium on System Identification, 737-742, 2003 | 26 | 2003 |
| Change detection in the dynamics with recursive subspace identification H Oku, G Nijsse, M Verhaegen, V Verdult Proceedings of the 40th IEEE Conference on Decision and Control, 2297-2302, 2001 | 26 | 2001 |
| Identification of multivariable linear parameter-varying systems based on subspace techniques V Verdult, M Verhaegen Proceedings of the 39th IEEE Conference on Decision and Control, 1567-1572, 2000 | 26 | 2000 |
| Efficient and systematic identification of MIMO bilinear state space models V Verdult, M Verhaegan, CT Chou, M Lovera Proceedings of the 37th IEEE Conference on Decision and Control, 1260-1265, 1998 | 26 | 1998 |
| Bilinear state space systems for nonlinear dynamical modelling V Verdult, M Verhaegen Theory in Biosciences 119 (1), 1-9, 2000 | 25 | 2000 |
Michel VerhaegenProfessor Systems and Control, Delft University of TechnologyVerified email at tudelft.nl
