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Determining chaotic behavior from experimental data: An alternative to the Lyapunov exponents

机译:从实验数据确定混沌行为:Lyapunov指数的替代方法

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摘要

The present work aims to find an alternative way to the classical Lyapunov exponents of characterizing the chaotic behavior of a system. The procedures that compute Lyapunov exponents use complicated mathematical operations, such as base change and linearization of the investigated system. The main advantage of the proposed procedure is that it can be applied to experimental data records, without knowing the equations that produced the investigated signals. The tridimensional Hénon map is used for exemplification.
机译:本工作旨在找到表征系统混沌行为的经典Lyapunov指数的替代方法。计算李雅普诺夫指数的过程使用复杂的数学运算,例如被研究系统的基数变化和线性化。该程序的主要优点是可以将其应用于实验数据记录,而无需知道产生被调查信号的方程式。三维Hénon贴图用于示例。

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