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100%: Grzegorz Mzyk: Combined Parametric-Nonparametric Identification of Block-Oriented Systems (ISBN: 9783319035963) 2013, in Englisch, Taschenbuch.Nur diese Ausgabe anzeigen…
35%: Mzyk, Grzegorz (Author): Combined Parametric-Nonparametric Identification of Block-Oriented Systems: 454 (Lecture Notes in Control and Information Sciences) (Paperback) (ISBN: 9783319035956) in Deutsch, Band: 454, Taschenbuch.
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Combined Parametric-Nonparametric Identification of Block-Oriented Systems
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| Schnitt | € 70,89 | € 79,83 | € 86,92 |
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1
Combined Parametric-Nonparametric Identification of Block-Oriented Systems (2013)
DE NW EBISBN: 9783319035963 bzw. 3319035967, in Deutsch, Springer, neu, E-Book.
Lieferung aus: Deutschland, Sofort per Download lieferbar.
This volume introduces a variety of combined parametric-nonparametric algorithms aimed at resolving problems with block-oriented non-linear dynamic system identification in the presence of random disturbances. It includes analysis of their limit properties. This book considers a problem of block-oriented nonlinear dynamic system identification in the presence of random disturbances. This class of systems includes various interconnections of linear dynamic blocks and static nonlinear elements, e.g., Hammerstein system, Wiener system, Wiener-Hammerstein (´´sandwich´´) system and additive NARMAX systems with feedback. Interconnecting signals are not accessible for measurement. The combined parametric-nonparametric algorithms, proposed in the book, can be selected dependently on the prior knowledge of the system and signals. Most of them are based on the decomposition of the complex system identification task into simpler local sub-problems by using non-parametric (kernel or orthogonal) regression estimation. In the parametric stage, the generalized least squares or the instrumental variables technique is commonly applied to cope with correlated excitations. Limit properties of the algorithms have been shown analytically and illustrated in simple experiments. 20.11.2013, PDF.
This volume introduces a variety of combined parametric-nonparametric algorithms aimed at resolving problems with block-oriented non-linear dynamic system identification in the presence of random disturbances. It includes analysis of their limit properties. This book considers a problem of block-oriented nonlinear dynamic system identification in the presence of random disturbances. This class of systems includes various interconnections of linear dynamic blocks and static nonlinear elements, e.g., Hammerstein system, Wiener system, Wiener-Hammerstein (´´sandwich´´) system and additive NARMAX systems with feedback. Interconnecting signals are not accessible for measurement. The combined parametric-nonparametric algorithms, proposed in the book, can be selected dependently on the prior knowledge of the system and signals. Most of them are based on the decomposition of the complex system identification task into simpler local sub-problems by using non-parametric (kernel or orthogonal) regression estimation. In the parametric stage, the generalized least squares or the instrumental variables technique is commonly applied to cope with correlated excitations. Limit properties of the algorithms have been shown analytically and illustrated in simple experiments. 20.11.2013, PDF.
2
Combined Parametric-Nonparametric Identification of Block-Oriented Systems
DE NW EB DLISBN: 9783319035963 bzw. 3319035967, in Deutsch, Springer Shop, neu, E-Book, elektronischer Download.
Lieferung aus: Japan, Lagernd, zzgl. Versandkosten.
This book considers a problem of block-oriented nonlinear dynamic system identification in the presence of random disturbances. This class of systems includes various interconnections of linear dynamic blocks and static nonlinear elements, e.g., Hammerstein system, Wiener system, Wiener-Hammerstein ("sandwich") system and additive NARMAX systems with feedback. Interconnecting signals are not accessible for measurement. The combined parametric-nonparametric algorithms, proposed in the book, can be selected dependently on the prior knowledge of the system and signals. Most of them are based on the decomposition of the complex system identification task into simpler local sub-problems by using non-parametric (kernel or orthogonal) regression estimation. In the parametric stage, the generalized least squares or the instrumental variables technique is commonly applied to cope with correlated excitations. Limit properties of the algorithms have been shown analytically and illustrated in simple experiments. eBook.
This book considers a problem of block-oriented nonlinear dynamic system identification in the presence of random disturbances. This class of systems includes various interconnections of linear dynamic blocks and static nonlinear elements, e.g., Hammerstein system, Wiener system, Wiener-Hammerstein ("sandwich") system and additive NARMAX systems with feedback. Interconnecting signals are not accessible for measurement. The combined parametric-nonparametric algorithms, proposed in the book, can be selected dependently on the prior knowledge of the system and signals. Most of them are based on the decomposition of the complex system identification task into simpler local sub-problems by using non-parametric (kernel or orthogonal) regression estimation. In the parametric stage, the generalized least squares or the instrumental variables technique is commonly applied to cope with correlated excitations. Limit properties of the algorithms have been shown analytically and illustrated in simple experiments. eBook.
3
Combined Parametric-Nonparametric Identification of Block-Oriented Systems
~EN NW EB DLISBN: 9783319035963 bzw. 3319035967, vermutlich in Englisch, Springer International Publishing, neu, E-Book, elektronischer Download.
Lieferung aus: Deutschland, Versandkostenfrei.
Combined Parametric-Nonparametric Identification of Block-Oriented Systems: This book considers a problem of block-oriented nonlinear dynamic system identification in the presence of random disturbances. This class of systems includes various interconnections of linear dynamic blocks and static nonlinear elements, e.g., Hammerstein system, Wiener system, Wiener-Hammerstein ("e sandwich"e ) system and additive NARMAX systems with feedback. Interconnecting signals are not accessible for measurement. The combined parametric-nonparametric algorithms, proposed in the book, can be selected dependently on the prior knowledge of the system and signals. Most of them are based on the decomposition of the complex system identification task into simpler local sub-problems by using non-parametric (kernel or orthogonal) regression estimation. In the parametric stage, the generalized least squares or the instrumental variables technique is commonly applied to cope with correlated excitations. Limit properties of the algorithms have been shown analytically and illustrated in simple experiments. Englisch, Ebook.
Combined Parametric-Nonparametric Identification of Block-Oriented Systems: This book considers a problem of block-oriented nonlinear dynamic system identification in the presence of random disturbances. This class of systems includes various interconnections of linear dynamic blocks and static nonlinear elements, e.g., Hammerstein system, Wiener system, Wiener-Hammerstein ("e sandwich"e ) system and additive NARMAX systems with feedback. Interconnecting signals are not accessible for measurement. The combined parametric-nonparametric algorithms, proposed in the book, can be selected dependently on the prior knowledge of the system and signals. Most of them are based on the decomposition of the complex system identification task into simpler local sub-problems by using non-parametric (kernel or orthogonal) regression estimation. In the parametric stage, the generalized least squares or the instrumental variables technique is commonly applied to cope with correlated excitations. Limit properties of the algorithms have been shown analytically and illustrated in simple experiments. Englisch, Ebook.
4
Combined Parametric-Nonparametric Identification of Block-Oriented Systems Lecture Notes in Control and Information Sciences Volume 454
DE PB NWISBN: 9783319035956 bzw. 3319035959, Band: 454, in Deutsch, Springer, Taschenbuch, neu.
Von Händler/Antiquariat, BuySomeBooks [52360437], Las Vegas, NV, U.S.A.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
5
Combined Parametric-Nonparametric Identification of Block-Oriented Systems (2013)
DE PB NWISBN: 9783319035956 bzw. 3319035959, in Deutsch, Springer Dez 2013, Taschenbuch, neu.
Von Händler/Antiquariat, Rheinberg-Buch [53870650], Bergisch Gladbach, NRW, Germany.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
7
Combined Parametric-Nonparametric Identification of Block-Oriented Systems
EN NW EB DLISBN: 9783319035963 bzw. 3319035967, in Englisch, Springer Berlin Heidelberg, neu, E-Book, elektronischer Download.
Lieferung aus: Vereinigtes Königreich Großbritannien und Nordirland, Despatched same working day before 3pm.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
8
Combined Parametric-Nonparametric Identification of Block-Oriented Systems
EN NW EB DLISBN: 9783319035963 bzw. 3319035967, in Englisch, neu, E-Book, elektronischer Download.
Lieferung aus: Vereinigte Staaten von Amerika, Lagernd, zzgl. Versandkosten.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
9
Combined Parametric-Nonparametric Identification of Block-Oriented Systems
DE PB NWISBN: 9783319035963 bzw. 3319035967, in Deutsch, Springer International Publishing, Taschenbuch, neu.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
10
Combined Parametric-Nonparametric Identification of Block-Oriented Systems (2013)
DE NWISBN: 9783319035956 bzw. 3319035959, in Deutsch, Springer International Publishing AG, neu.
Von Händler/Antiquariat, Books2Anywhere [190245], Fairford, GLOS, United Kingdom.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
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