- An Initialization Method for Nonlinear Model Reduction Using the CP Decomposition(2017)
Auteurs: Gabriel Hollander, Philippe Dreesen, Mariya Ishteva, Johan Schoukens, P Tichavsky, M BabaieZadeh, OJJ Michel, N ThirionMoreau
Pagina's: 111 - 120
- Modeling Parallel Wiener-Hammerstein Systems Using Tensor Decomposition of Volterra Kernels(2017)
Auteurs: Philippe Dreesen, David T Westwick, Johan Schoukens, Mariya Ishteva, P Tichavsky, M BabaieZadeh, OJJ Michel, N ThirionMoreau
Pagina's: 16 - 25
- Polynomial State-Space Model Decoupling for the Identification of Hysteretic Systems(2017)
Auteurs: Alireza Fakhrizadeh Esfahani, Philippe Dreesen, Koen Tiels, Jean-Philippe Noel, Johan Schoukens
Pagina's: 458 - 463
- Tensor Factorization based Estimates of Parallel Wiener Hammerstein Models(2017)
Auteurs: David T Westwick, Mariya Ishteva, Philippe Dreesen, Johan Schoukens
Pagina's: 9468 - 9473
- Decoupling nonlinear state-space models: case studies(2016)
Auteurs: Philippe Dreesen, Alireza Fakhrizadeh Esfahani, Julian Stoev, Koen Tiels, Johan Schoukens, P Sas, D Moens, A VanDeWalle
Pagina's: 2639 - 2646
Aantal pagina's: 8
- Parallel Wiener-Hammerstein Identification: A case study(2016)
Auteurs: Gabriel Hollander, Philippe Dreesen, Mariya Ishteva, Johan Schoukens, P Sas, D Moens, A VanDeWalle
Pagina's: 2647 - 2656
Aantal pagina's: 10
- Decoupling Static Nonlinearities in a Parallel Wiener-Hammerstein System: A First-order Approach(2015)
Auteurs: Philippe Dreesen
Pagina's: 987 - 992
Aantal pagina's: 6
- Recovering Wiener-Hammerstein nonlinear state-space models using linear algebra(2015)
Auteurs: Philippe Dreesen, Mariya Ishteva
Pagina's: 951 - 956
- Block-Decoupling Multivariate Polynomials Using the Tensor Block-Term Decomposition(2015)
Auteurs: Philippe Dreesen, Thomas Goossens, Mariya Ishteva, Lieven De Lathauwer, Johan Schoukens
Pagina's: 14 - 21
- DECOUPLING MULTIVARIATE POLYNOMIALS USING FIRST-ORDER INFORMATION AND TENSOR DECOMPOSITIONS(2015)
Auteurs: Philippe Dreesen, Mariya Ishteva
Pagina's: 864 - 879