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权重组合运算符用于学习非线性动力学
Benjamin P Russo1, Daniel A Messenger2, David Bortz2
1Oak Ridge National Laboratory, Computer Science and Mathematics Division, Oak Ridge, TN 37830.
概括
本研究介绍了加权组合运算符作为分析动态系统的新方法. 这种方法为建模系统动态提供了数据驱动的替代方案,特别是当传统的库普曼操作员方法不足时.
科学领域:
- 动态系统 动态系统
- 运算子理论 运算子理论
- 数据科学数据科学数据科学
背景情况:
- 操作员理论方法,包括库普曼操作员,在动态系统分析中很普遍.
- 这些方法利用不变子空间和固有函数用于线性系统建模.
- 当库普曼运算符缺乏可利用的固有函数时,就存在限制.
研究的目的:
- 引入加权组合运算符作为动态系统研究的替代方案.
- 为了解决传统的库普曼操作员方法的局限性.
- 介绍一个新的数据驱动算法,用于动态系统分析.
主要方法:
- 使用加权组合运算符,它们在各种动态和空间中是紧的.
- 与职业内核和向量值内核相互作用的加权组合运算符.
- 开发一种用于数据驱动的动态系统建模的新算法.
主要成果:
- 权重组合运营商提供基础系统动态的估计.
- 拟议的算法促进了动态系统的数据驱动研究.
- 数字实验证明了趋同,验证了该方法作为概念证明.
结论:
- 权重组合操作员为动态系统分析提供了一个可行的替代方案.
- 这种基于运算符的框架即使没有理想的自函数也可以近似.
- 提出的算法为复杂系统的数据驱动建模提供了一个新的工具.
相关概念视频
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