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Statistical analysis of symbolic dynamics in weakly coupled chaotic oscillators

机译:弱耦合混沌振子符号动力学的统计分析

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The difference between phases of weakly coupled chaotic oscillators fluctuates around its average value similar to a random walk. For a very weak coupling strength, the phase difference has the same stochastic properties as a Brownian motion characterized by a -2 scaling exponent in its power spectrum, and for stronger coupling it behaves as a pink noise with a close to -1 power law. Ordinary methods of stochastic analysis based on the Fourier spectrum and detrended fluctuation analysis are not able to distinguish determinism from the time series of this phase drift. Nevertheless, determinism can be revealed by the method of ordinal pattern symbolization which allows finding forbidden patterns in the time series. The efficiency of this approach is proven with the Brownian motion, where non-occurring patterns are also detected. The robustness of the method to noise is demonstrated with coupled Rossler oscillators. The stochastic properties of phase fluctuations can be promising for cryptography and secure communication using chaotic systems. (c) 2018 Elsevier B.V. All rights reserved.
机译:弱耦合混沌振荡器的相位差在其平均值附近波动,类似于随机游动。对于非常弱的耦合强度,相位差具有与布朗运动相同的随机特性,其布朗函数在其功率谱中具有-2缩放指数,而对于更强的耦合,则表现为粉红噪声,且幂律接近-1。基于傅立叶频谱和去趋势波动分析的普通随机分析方法无法将确定性与该相移的时间序列区分开。但是,可以通过顺序模式符号化的方法来揭示确定性,该方法允许在时间序列中找到禁止的模式。布朗运动证明了这种方法的效率,该运动还可以检测到非出现模式。耦合的Rossler振荡器证明了该方法对噪声的鲁棒性。相位波动的随机特性对于使用混沌系统的密码学和安全通信可能很有希望。 (c)2018 Elsevier B.V.保留所有权利。

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