Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Zygmunt Hasiewicz"'
Publikováno v:
Algorithms, Vol 13, Iss 12, p 328 (2020)
In the paper we deal with the problem of non-linear dynamic system identification in the presence of random noise. The class of considered systems is relatively general, in the sense that it is not limited to block-oriented structures such as Hammers
Externí odkaz:
https://doaj.org/article/36eb470821464db8ab73ffa3ebb7eb89
Publikováno v:
Algorithms, Vol 13, Iss 328, p 328 (2020)
Algorithms
Volume 13
Issue 12
Algorithms
Volume 13
Issue 12
In the paper we deal with the problem of non-linear dynamic system identification in the presence of random noise. The class of considered systems is relatively general, in the sense that it is not limited to block-oriented structures such as Hammers
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::93c749ee6c3ff57541d393b7a6afed9e
https://www.mdpi.com/1999-4893/13/12/328
https://www.mdpi.com/1999-4893/13/12/328
Autor:
Grzegorz Mzyk, Zygmunt Hasiewicz
Publikováno v:
Lecture Notes in Networks and Systems ISBN: 9783030446093
The paper concerns identification of Hammerstein system under nonparametric prior knowledge about the static nonlinear characteristic. The identification task is decomposed by the prediction of the hidden interaction signal. The standard kernel appro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d6ff958e594a8fdf4a5c8ec4484b10aa
https://doi.org/10.1007/978-3-030-44610-9_13
https://doi.org/10.1007/978-3-030-44610-9_13
Autor:
Zygmunt Hasiewicz, Urszula Libal
Publikováno v:
IFAC-PapersOnLine. 51:255-262
The paper presents wavelet based fault detection method and the analysis of error rates. The proposed method is based on signal representations in Daubechies wavelet bases. For the designed fault detection rule, the upper bound of non-detection proba
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::07da45dda55740ffdd2f5555beb9c793
https://doi.org/10.1016/j.ifacol.2018.09.585
https://doi.org/10.1016/j.ifacol.2018.09.585
Autor:
Zygmunt Hasiewicz, Urszula Libal
Publikováno v:
Engineering Applications of Artificial Intelligence. 62:109-123
We propose an adaptive multistage classification scheme, based on the principle of multiresolution, using a naturally hierarchical wavelet representation of signals. The use of this principle in the context of a multi-class recognition task leads to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5830c0a2142763861e64a99577431dab
https://doi.org/10.1016/j.engappai.2017.04.005
https://doi.org/10.1016/j.engappai.2017.04.005
Publikováno v:
MMAR
We consider a class of non-linear dynamic systems with finite memory and nonlinear characteristic that reveals time-varying behavior. It is assumed that the considered systems can change their mode in the a priori known range of modes but the switchi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::095189a25f7920f8d2ebb35a88f65bec
https://doi.org/10.1109/mmar.2019.8864643
https://doi.org/10.1109/mmar.2019.8864643
Autor:
Paweł Wachel, Zygmunt Hasiewicz
Publikováno v:
MMAR
In the paper the problem of Wiener-Hammerstein system (LNL) modelling by exponentially weighted aggregation of models is discussed. The class of systems under consideration admits almost any LNL objects even with infinite memory and virtually arbitra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef1ad11181a840b44acddf42d8e61e7e
https://doi.org/10.1109/mmar.2017.8046935
https://doi.org/10.1109/mmar.2017.8046935
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783319606989
KKA
KKA
In the paper a three-stage, semirecursive scheme for the Wiener-Hammerstein system identification is proposed. The algorithm combines both parametric and nonparametric strategies and allows to recover linear and nonlinear subsystems directly from the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8646edc82cb261e27cb3c020b7137f14
https://doi.org/10.1007/978-3-319-60699-6_51
https://doi.org/10.1007/978-3-319-60699-6_51
Publikováno v:
Journal of Systems Science and Systems Engineering. 24:68-80
The problem of nonparametric identification of a multivariate nonlinearity in a D-input Hammerstein system is examined. It is demonstrated that if the input measurements are structured, in the sense that there exists some hidden relation between them
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cec37db5c7d5a950ba18a75c4ed42404
https://doi.org/10.1007/s11518-014-5256-7
https://doi.org/10.1007/s11518-014-5256-7
Publikováno v:
International Journal of Applied Mathematics and Computer Science. 23:507-520
A simple semi-recursive routine for nonlinearity recovery in Hammerstein systems is proposed. The identification scheme is based on the Haar wavelet kernel and possesses a simple and compact form. The convergence of the algorithm is established and t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::324d2ab1e44ff725dbc2f91316f00a98
https://doi.org/10.2478/amcs-2013-0039
https://doi.org/10.2478/amcs-2013-0039