数据驱动的非线性模型通过斜投影将其缩小到光谱次元组
Leonardo Bettini1, Bálint Kaszás1, Bernhard Zybach1
1Institute for Mechanical Systems, ETH Zürich, Leonhardstrasse 21, 8092 Zürich, Switzerland.
Chaos (Woodbury, N.Y.)
|April 18, 2025
概括
本研究介绍了一种斜投影方法,用于准确建模复杂的动态系统. 这种技术有效地捕捉系统动态,即使从非正常系统获得有限的实验数据.
科学领域:
- 动态系统理论 动态系统理论
- 非线性动力学是一种非线性动力学.
- 减少顺序建模的模型
背景情况:
- 频谱子变量 (SSM) 为附近的轨迹提供了减少顺序模型.
- 远离SSM的建模动态是具有挑战性的,因为系统的非正常性.
- 非正常性使直接投影方法复杂化,用于准确的减少顺序建模.
研究的目的:
- 开发一种高效的投影技术,用于近似非线性动态.
- 准确地建模远离主要光谱次元的轨迹.
- 为了克服构建不变叶片的数据要求的局限性.
主要方法:
- 开发了一种斜投影技术.
- 将该方法应用于显著非正常和非线性光束系统.
- 用一个单一的实验轨迹来构建模型.
主要成果:
- 斜投影有效地接近稳定的不变叶片.
- 实现了远离主要SSM的轨迹的准确建模.
- 这种方法甚至在有限的实验数据下也显示出有效性.
结论:
- 斜投影是一种可行的方法,用于非正常系统的减少顺序建模.
- 这种技术为复杂的动态系统提供了一种实际的方法.
- 即使实验数据稀少,也可以进行高效的建模.
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