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Recovery of parameters of delayed-feedback systems from chaotic time series

机译:从混沌时间序列中恢复延迟反馈系统的参数

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摘要

Methods for reconstructing a delay differential equation from the time series of an observable quantity are proposed for various classes of time-delay systems. The methods rely on knowledge of the distributions of extrema of the time series of observed oscillations and projection of the infinite-dimensional phase spaces of time-delay systems onto special low-dimensional subspaces. The effectiveness of the proposed methods is demonstrated by reconstructing delay differential equations from their chaotic solutions, including those corrupted by noise, and by constructing models of real time-delay systems from chaotic time series. (C) 2005 Pleiades Publishing, Inc.
机译:针对各种时滞系统,提出了从可观测量的时间序列重建时滞微分方程的方法。这些方法依赖于对观察到的振荡的时间序列的极值分布的了解,以及时滞系统的无穷维相空间在特殊低维子空间上的投影。通过从它们的混沌解中重建延迟微分方程(包括那些被噪声破坏的方程),并从混沌时间序列构建实时时滞系统模型,证明了所提方法的有效性。 (C)2005年Pleiades Publishing,Inc.

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