A data-analysis method for identifying differential effects of time-delayed feedback forces and periodic driving forces in stochastic systems

In this work a method is developed for analyzing time series of periodically driven stochastic systems involving time-delayed feedback. The proposed data-analysis method yields dynamical models in terms of stochastic delay differential equations. On the basis of these dynamical models differential effects of driving forces and time-delayed feedback forces can be identified. Copyright EDP Sciences/Società Italiana di Fisica/Springer-Verlag 2007

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Year of publication:	2007
Authors:	Wilmer, A. ; Frank, T. D. ; Beek, P. J. ; Friedrich, R.
Published in:	The European Physical Journal B - Condensed Matter and Complex Systems. - Springer. - Vol. 60.2007, 2, p. 203-215
Publisher:	Springer
Subject:	02.30.Ks Delay and functional equations \| 05.45.Tp Time series analysis \| 87.19.St Movement and locomotion

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Extent:	text/html
Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10009280312