Zygmunt Hasiewicz

Pawel Mielcarek

Algorithms, 2020

2019

Modeling of switching-mode nonlinear system by exponentially weighted aggregation.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Methods and Models in Automation and Robotics, 2019

2017

Risk upper bound for a NM-type multiresolution classification scheme of random signals by Daubechies wavelets.

[BibT_eX]

[DOI]

Urszula Libal

Eng. Appl. Artif. Intell., 2017

Exponentially weighted aggregation of models for Wiener-Hammerstein system modelling.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Conference on Methods and Models in Automation and Robotics, 2017

Multistage identification of Wiener-Hammerstein system.

[BibT_eX]

[DOI]

Proceedings of the Trends in Advanced Intelligent Control, Optimization and Automation - Proceedings of KKA 2017, 2017

2013

A simple scheme for semi-recursive identification of Hammerstein system nonlinearity by Haar wavelets.

[BibT_eX]

[DOI]

Int. J. Appl. Math. Comput. Sci., 2013

Model Selection of Hammerstein System Nonlinearity under Heavy Noise.

[BibT_eX]

[DOI]

Proceedings of the 11th IFAC International Workshop on Adaptation and Learning in Control and Signal Processing, 2013

2010

Quasi-parametric Recovery of Hammerstein System Nonlinearity by Smart Model Selection.

[BibT_eX]

[DOI]

Proceedings of the Artifical Intelligence and Soft Computing, 2010

2009

Hammerstein system identification by non-parametric instrumental variables.

[BibT_eX]

[DOI]

Int. J. Control, 2009

Computational Algorithm for Nonparametric Modelling of Nonlinearities in Hammerstein Systems.

[BibT_eX]

Proceedings of the ICINCO 2009, Proceedings of the 6th International Conference on Informatics in Control, Automation and Robotics, 2009

2008

Computational Algorithms for Wavelet Identification of Nonlinearities in Hammerstein Systems With Random Inputs.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2008

2007

On Nonparametric Identification of Wiener Systems.

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[DOI]

IEEE Trans. Signal Process., 2007

2005

Computational algorithms for multiscale identification of nonlinearities in Hammerstein systems with random inputs.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2005

Nonparametric identification of nonlinearities in block-oriented systems by orthogonal wavelets with compact support.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. I Regul. Pap., 2005

2004

Combined parametric-nonparametric identification of Hammerstein systems.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2004

2002

Identification of non-linear characteristics of a class of block-oriented non-linear systems via Daubechies wavelet-based models.

[BibT_eX]

[DOI]

Int. J. Syst. Sci., 2002

Non-parametric identification of multi-channel systems by multiscale expansions.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2002

2001

Non-parametric estimation of non-linearity in a cascade time-series system by multiscale approximation.

[BibT_eX]

[DOI]

Signal Process., 2001

2000

Modular neural networks for non-linearity recovering by the Haar approximation.

[BibT_eX]

[DOI]

Neural Networks, 2000

1999

Non-parametric system identification of non-linear block-oriented systems by multiscale expansions.

[BibT_eX]

[DOI]

Proceedings of the 5th European Control Conference, 1999

Non-linearity recovering with the help of wavelets.

[BibT_eX]

[DOI]