Title: Analysis of linear stochastic dynamic systems of the n–th order of the method of moments
Authors: Mazurkiewicz, Seweryn
Walczak, Janusz
Jakubowska, Agnieszka
Citation: CPEE – AMTEE 2013: Joint conference Computational Problems of Electrical Engineering and Advanced Methods of the Theory of Electrical Engineering: 4th – 6th September 2013 Roztoky u Křivoklátu, Czech Republic, p. II-2.
Issue Date: 2013
Publisher: University of West Bohemia
Document type: článek
konferenční příspěvek
article
conferenceObject
URI: http://hdl.handle.net/11025/11608
ISBN: 978-80-261-0247-2
Keywords: lineární stochastické dynamické systémy;metoda momentů;náhodné systémy n-tého řádu
Keywords in different language: linear stochastic dynamic systems;method of moments;n–th order random systems
Abstract: In the article, the linear dynamic random model of n–th order described by the random state equation, is considered. The method for determining the probabilistic characteristics of stochastic process which is the solution of that equation, is shown. These characteristics, such as average values and correlation functions, are determined by auxiliary solutions– deterministic systems of ordinary differential equations.
Rights: © University of West Bohemia
Appears in Collections:CPEE – AMTEE 2013
CPEE – AMTEE 2013

Files in This Item:
File Description SizeFormat 
Mazurkiewicz.pdfPlný text111,6 kBAdobe PDFView/Open


Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/11608

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.