Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	Oktober 2012
Genre:	Schulbücher
	B / Mathematics and Statistics / nonlinear system identification / nonparametric algorithms / regression estimation / Statistical Theory and Methods / Statistics
ISBN:	9783642293955
EAN-Code:	9783642293955
Verlag:	Springer EN
Einband:	Kartoniert
Sprache:	English
Serie:	#210 - Lecture Notes in Statistics
Dimensionen:	H 235 mm / B 155 mm / D
Gewicht:	2409 gr
Seiten:	139
Illustration:	XI, 139 p. 27 illus., 18 illus. in color., farbige Illustrationen, schwarz-weiss Illustrationen
Zus. Info:	EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025.
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

In order to precisely model real-life systems or man-made devices, both nonlinear and dynamic properties need to be taken into account. The generic, black-box model based on Volterra and Wiener series is capable of representing fairly complicated nonlinear and dynamic interactions, however, the resulting identification algorithms are impractical, mainly due to their computational complexity. One of the alternatives offering fast identification algorithms is the block-oriented approach, in which systems of relatively simple structures are considered. The book provides nonparametric identification algorithms designed for such systems together with the description of their asymptotic and computational properties.