在离散时间内开放网络:通过与阻止行为
Amirhossein Nazerian1, Malbor Asllani2, Melvyn Tyloo3,4
1Department of Mechanical Engineering, University of New Mexico, Albuquerque, New Mexico 87131, USA.
Chaos (Woodbury, N.Y.)
|December 3, 2025
概括
本研究引入了一个框架来分析离散时间复杂网络如何传递或阻止外部信号. 一个新的网络索引揭示了影响生物,技术和生态系统信息流的结构性特征.
科学领域:
- 网络科学 网络科学
- 系统理论 系统理论
- 控制理论 控制理论
背景情况:
- 复杂的网络通常在离散时间内建模,包括意见动态,马尔科夫链和扩散过程.
- 了解这些网络如何与其环境互动,作为开放系统,对于分析信息流来说至关重要.
- 现有的方法可能无法有效地描述离散时间复杂网络的输入输出行为.
研究的目的:
- 开发一个统一的框架来分析离散时间复杂网络的输入输出行为,作为开放系统.
- 描述这些网络是否放大 (传递) 或抑制 (阻止) 外部输入.
- 根据其信号处理能力,提供一种计算效率高的方法来比较网络拓.
主要方法:
- 将网络的传输功能与离散时间可控性的格拉米安结合起来.
- 使用H2标准来测量不同输入类型的信号增益.
- 引入基于格拉米安轨迹和自身值的网络索引,用于可扩展的分析.
主要成果:
- 为特征离散时间网络中的信号放大或抑制建立了一个一般框架.
- 开发了一个计算效率高的网络索引,使网络拓的可扩展比较成为可能.
- 跨越生物,技术和生态领域的经验网络表现出与通过或阻止行为相关的一致结构签名.
结论:
- 开发的框架有效地分析了离散时间复杂网络的输入-输出动态.
- 网络架构和输入/输出节点的选择极大地影响了信息流.
- 这些发现对网络控制,信号处理和复杂系统的设计具有广泛的影响.
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