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通过低频动态模型的高频复杂动态的数据驱动的普通微分方程建模
Natsuki Tsutsumi1, Kengo Nakai2, Yoshitaka Saiki3
1Hitotsubashi University, Faculty of Commerce and Management, Tokyo 186-8601, Japan.
Physical review. E
|February 20, 2025
概括
本研究引入了一种改进的方法来建模复杂的混乱动态,如流体流动,通过使用一个联合模型与一个更简单的基本变量. 这种方法增强了从时间序列数据中重建混乱集和统计属性的能力.
科学领域:
- 非线性动力学是一种非线性动力学.
- 流体力学的流体力学
- 时间序列分析时间序列分析.
背景情况:
- 之前的基于辐射函数的回归 (RfR) 方法与复杂的间歇性时间序列数据扎.
- 从可观测数据中建模混乱行为对于理解复杂系统至关重要.
研究的目的:
- 开发一种可靠的方法来建模复杂的混乱动态,包括间歇性流体流动行为.
- 构建一个自主联合模型,克服直接RfR应用的局限性.
主要方法:
- 提出了一种新的联合建模方法,使用具有更简单动态的基本变量.
- 开发了一个由两个部分组成的自主模型:一个用于基本变量,另一个用于由基本变量影响的目标变量.
- 应用该模型从时间序列数据中重建混乱集合和统计属性.
主要成果:
- 联合模型成功地推断出了短轨迹.
- 从长轨迹中重建混乱集和统计属性,包括密度分布.
- 在流体流动力学中模拟高频间歇性行为的有效性得到证明.
结论:
- 拟议的联合建模方法增强了复杂的混乱系统的分析.
- 与直接RfR相比,这种方法提供了更准确的动态重建.
- 该方法有效地从可观察到的确定性时间序列中推断动态,即使有间歇性行为.
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