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

A. Wilmer; T. D. Frank; P. J. Beek; R. Friedrich

doi:10.1140/epjb/e2007-00333-x

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

A. Wilmer^*, T. D. Frank, P. J. Beek, R. Friedrich

^*Corresponding author for this work

Research output: Contribution to Journal › Article › Academic › peer-review

Abstract

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.

Original language	English
Pages (from-to)	203-215
Number of pages	13
Journal	European Physical Journal B
Volume	60
Issue number	2
DOIs	https://doi.org/10.1140/epjb/e2007-00333-x
Publication status	Published - Nov 2007

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

abstract = "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.",

author = "A. Wilmer and Frank, {T. D.} and Beek, {P. J.} and R. Friedrich",

year = "2007",

month = nov,

doi = "10.1140/epjb/e2007-00333-x",

language = "English",

volume = "60",

pages = "203--215",

journal = "European Physical Journal B",

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AU - Wilmer, A.

AU - Frank, T. D.

AU - Beek, P. J.

AU - Friedrich, R.

PY - 2007/11

Y1 - 2007/11

N2 - 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.

AB - 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.

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DO - 10.1140/epjb/e2007-00333-x

M3 - Article

AN - SCOPUS:37249023845

SN - 1434-6028

VL - 60

SP - 203

EP - 215

JO - European Physical Journal B

JF - European Physical Journal B

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ER -

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

Abstract

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