Using Synchronization for Prediction of High-Dimensional Chaotic Dynamics

被引:47
作者
Cohen, Adam B. [1 ,2 ]
Ravoori, Bhargava [1 ,2 ]
Murphy, Thomas E. [1 ,3 ]
Roy, Rajarshi [1 ,2 ,4 ]
机构
[1] Univ Maryland, Inst Res Elect & Appl Phys, College Pk, MD 20742 USA
[2] Univ Maryland, Dept Phys, College Pk, MD 20742 USA
[3] Univ Maryland, Dept Elect & Comp Engn, College Pk, MD 20742 USA
[4] Univ Maryland, Inst Phys Sci & Technol, College Pk, MD 20742 USA
关键词
D O I
10.1103/PhysRevLett.101.154102
中图分类号
O4 [物理学];
学科分类号
0702 ;
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.
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页数:4
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