DSpace
 

Researchspace >
General science, engineering & technology >
General science, engineering & technology >
General science, engineering & technology >

Please use this identifier to cite or link to this item: http://hdl.handle.net/10204/4420

Title: On identification of dynamic system parameters from experimental data
Authors: Shatalov, M
Fedotov, I
Keywords: Dynamical systems
Quadrature rules
Least squares method
Issue Date: Aug-2007
Publisher: Austral Internet Publishing
Citation: Shatalov, M and Fedotov, I. 2007. On identification of dynamic system parameters from experimental data. Research group in mathematical inequalities and applications, Vol. 10(1), pp 1-9
Abstract: In this paper the authors present a new method of numerical evaluation of unknown coefficients of a dynamical system having available information about unknown phase trajectories at some time values. The method consists in the direct integration of given dynamical system with posterior application of a quadrature rules. Using the least square method and possible constraints we obtain a linear system for determining an unknown coefficient. A numerical example illustrates the method.
URI: http://hdl.handle.net/10204/4420
http://ajmaa.org/RGMIA/papers/v10n1/Australia_Extra_Final.pdf
ISSN: 1443-5764
Appears in Collections:Microbial expression systems
Enzyme technologies
General science, engineering & technology
Agroprocessing and chemical technology

Files in This Item:

File Description SizeFormat
Shatalov4_2007.pdf191.28 kBAdobe PDFView/Open
View Statistics

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

 

Valid XHTML 1.0! DSpace Software Copyright © 2002-2010  Duraspace - Feedback