文章基本信息

标题：Phase Space Reconstruction from Time Series Data: Where History Meets Theory
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作者：Ray Huffaker
期刊名称：Proceedings in Food System Dynamics
印刷版ISSN：2194-511X
出版年度：2010
页码：1-9
语种：English
出版社：Proceedings in Food System Dynamics
摘要：In ‘dissipative’ dynamical systems, variables evolve asymptotically toward low dimensional ‘attractors’ that define their dynamical properties. Unfortunately, real ‐ world dynamical systems are generally too complex for us to directly observe these attractors. Fortunately, there is a method—‘phase space reconstruction’—that can be used to indirectly detect attractors in real ‐ world dynamical systems using time series data on a single variable (Broomhead and King, 1985; Schaffer and Kott, 1985; Kott et al, 1988; Williams,1997). Armed with this knowledge, we can formulate more accurate and informative models of real ‐ world dynamical systems.