Vincent Verdult

Publication Activity (10 Years)

Years Active: 1999-2005
Publications (10 Years): 0

Publications

Vincent Verdult, Michel Verhaegen
Kernel methods for subspace identification of multivariable LPV and bilinear systems. Autom. 41 (9) (2005)
José Borges, Vincent Verdult, Michel Verhaegen, Miguel Ayala Botto
A switching detection method based on projected subspace classification. CDC/ECC (2005)
Vincent Verdult, Michel Verhaegen
Subspace identification of piecewise linear systems. CDC (2004)
Vincent Verdult, Michel Verhaegen
A Kernel method for subspace identification of multivariable bilinear systems. CDC (2003)
Ton J. J. van den Boom, Bart De Schutter, Vincent Verdult
Identification of stochastic max-plus-linear systems. ECC (2003)
Vincent Verdult, Niek Bergboer, Michel Verhaegen
Maximum likelihood identification of multivariable bilinear state-space systems by projected gradient search. CDC (2002)
N. H. Bergboer, Vincent Verdult, M. H. G. Verhaegen
An efficient implementation of maximum likelihood identification of LTI state-space models by local gradient search. CDC (2002)
Bart De Schutter, Ton J. J. van den Boom, Vincent Verdult
State space identification of max-plus-linear discrete event systems from input-output data. CDC (2002)
Vincent Verdult, Michel Verhaegen
Subspace identification of multivariable linear parameter-varying systems. Autom. 38 (5) (2002)
Vincent Verdult, Michel Verhaegen
Identification of a weighted combination of multivariable local linear state-space systems from input and output data. CDC (2001)
Hiroshi Oku, G. Nijsse, Michel Verhaegen, Vincent Verdult
Change detection in the dynamics with recursive subspace identification. CDC (2001)
Vincent Verdult, Michel Verhaegen
Identification of multivariable LPV state space systems by local gradient search. ECC (2001)
Vincent Verdult, Michel Verhaegen
Bilinear state space systems for nonlinear dynamical modelling. Theory Biosci. 119 (1) (2000)
Vincent Verdult, Michel Verhaegen
Identification of multivariable linear parameter-varying systems based on subspace techniques. CDC (2000)
Vincent Verdult, Michel Verhaegen
Subspace-based identification of MIMO bilinear systems. ECC (1999)