Recurrence analysis of strange nonchaotic dynamics

E. J. Ngamga, A. Nandi, R. Ramaswamy, M Carmen Romano , Marco Thiel, Jurgen Kurths

Research output: Contribution to journalArticle

25 Citations (Scopus)

Abstract

We present methods to detect the transitions from quasiperiodic to chaotic motion via strange nonchaotic attractors (SNAs). These procedures are based on the time needed by the system to recur to a previously visited state and a quantification of the synchronization of trajectories on SNAs. The applicability of these techniques is demonstrated by detecting the transition to SNAs or the transition from SNAs to chaos in representative quasiperiodically forced discrete maps. The fractalization transition to SNAs—for which most existing diagnostics are inadequate—is clearly detected by recurrence analysis. These methods are robust to additive noise, and thus can be used in analyzing experimental time series.
Original languageEnglish
Article number036222
Number of pages8
JournalPhysical Review. E, Statistical, Nonlinear and Soft Matter Physics
Volume75
Issue number3
DOIs
Publication statusPublished - 29 Mar 2007

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strange attractors
Strange attractor
Recurrence
Chaotic Motion
Additive Noise
Quantification
chaos
synchronism
Diagnostics
Chaos
Synchronization
Time series
trajectories
Trajectory

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Recurrence analysis of strange nonchaotic dynamics. / Ngamga, E. J.; Nandi, A. ; Ramaswamy, R. ; Romano , M Carmen; Thiel, Marco; Kurths, Jurgen.

In: Physical Review. E, Statistical, Nonlinear and Soft Matter Physics, Vol. 75, No. 3, 036222, 29.03.2007.

Research output: Contribution to journalArticle

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