Ricardo Castro-Garcia

Int. J. Control, 2019

2018

Hammerstein system identification through best linear approximation inversion and regularisation.

[BibT_eX]

[DOI]

Koen Tiels

Int. J. Control, 2018

A two-experiment approach to Wiener system identification.

[BibT_eX]

[DOI]

Giulio Bottegal

Autom., 2018

2017

MIMO hammerstein system identification using LS-SVM and steady state time response.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

On the identification of Wiener systems with polynomial nonlinearity.

[BibT_eX]

[DOI]

Giulio Bottegal

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016

Wiener System Identification using Best Linear Approximation within the LS-SVM framework.

[BibT_eX]

[DOI]

Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2016

Hammerstein system identification using LS-SVM and steady state time response.

[BibT_eX]

[DOI]

Koen Tiels

Proceedings of the 15th European Control Conference, 2016

2015

Incorporating Best Linear Approximation within LS-SVM-based Hammerstein System Identification.

[BibT_eX]

[DOI]

Koen Tiels

Johan Schoukens

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

2014

SVD truncation schemes for fixed-size kernel models.

[BibT_eX]

[DOI]