间歇性
相空间
洛伦兹系统
逻辑图
混乱的
非线性系统
应用数学
物理
统计物理学
动力系统理论
系列(地层学)
常微分方程
微分方程
混沌控制
数学分析
数学
混沌同步
计算机科学
控制理论(社会学)
湍流
量子力学
热力学
生物
古生物学
人工智能
控制(管理)
作者
Georg A. Gottwald,Ian Melbourne
标识
DOI:10.1007/978-3-662-48410-4_7
摘要
We review here theoretical as well as practical aspects of the 0-1 test for chaos for deterministic dynamical systems. The test is designed to distinguish between regular, i.e. periodic or quasi-periodic, dynamics and chaotic dynamics. It works directly with the time series and does not require any phase space reconstruction. This makes the test suitable for the analysis of discrete maps, ordinary differential equations, delay differential equations, partial differential equations and real world time series. To illustrate the range of applicability we apply the test to examples of discrete dynamics such as the logistic map, Pomeau–Manneville intermittency maps with both summable and nonsummable autocorrelation functions, and the Hamiltonian standard map exhibiting weak chaos. We also consider examples of continuous time dynamics such as the Lorenz-96 system and a driven and damped nonlinear Schrödinger equation. Finally, we show the applicability of the 0-1 test for time series contaminated with noise as found in real world applications.
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