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arXiv 0809.3777nlin.CD
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利用同步预测高维混沌动力学

Using Synchronization for Prediction of High-Dimensional Chaotic Dynamics

Adam B. Cohen, Bhargava Ravoori, Thomas E. Murphy, Rajarshi Roy

摘要:

我们实验观察的非线性动力学的光电延时反馈回路设计用于混沌通信使用商业光纤链路,我们模拟系统使用延迟微分方程。我们发现,同步的数值模型的实验测量提供了一种新的方法来同化数据和预测这个时间延迟的高维系统的未来。对于这个系统,它有一个反馈时间延迟为22纳秒,我们表明,可以预测的时间序列为几个延迟期间,当动态是约15维。

英文摘要:

We experimentally observe the nonlinear dynamics of an optoelectronic time-delayed feedback loop designed for chaotic communication using commercial fiber optic links, and we simulate the system using delay differential equations. We show that synchronization of a numerical model to experimental measurements provides a new way to assimilate data and forecast the future of this time-delayed high-dimensional system. For this system, which has a feedback time delay of 22 ns, we show that one can predict the time series for up to several delay periods, when the dynamics is about 15 dimensional.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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