Predicting Phase Synchronization from Non-Synchronized Chaotic Data
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概要
- 論文の詳細を見る
A novel modeling approach is presented for reconstruction of the global behavior of coupled chaotic systems from bivariate time series. We analyze two coupled chaotic oscillators, which are able to phase synchronize due to coupling. It is shown that our technique enables the recovery of the synchronization diagram from only three data sets. This allows the estimate of the relative strength of the coupling and the parameter mismatch of both subsystems. even in the presence of strong noise.
- 社団法人電子情報通信学会の論文
- 2002-01-22
著者
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Tokuda Isao
Department Of Computer Science And Systems Engineering Muroran Institute Of Technology
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Kurths Jurgen
Nonlinear Dynamics Institute Of Physics University Of Potsdam
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Kurths Jurgen
Nonlinear Dynamics Group Institute Of Physics And Research Group "conflicting Rules " Univ
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