从本地信息控制全球网络.
Aleksandar Haber1, Ferenc Molnar1, Adilson E Motter1,2,3,4
1Department of Physics and Astronomy, Northwestern University, Evanston, Illinois 60208, USA.
Chaos (Woodbury, N.Y.)
|December 24, 2024
概括
本研究引入了仅使用本地信息的网络控制,减少了数据需求. 通过限制国家信息社区而实现对大型网络的有效控制,而不会造成显著的性能损失.
科学领域:
- 控制理论 控制理论
- 网络系统 网络系统
- 复杂的系统复杂的系统.
背景情况:
- 传统的网络控制依赖于全球状态信息.
- 实时全球状态重建面临数据收集,通信和处理限制.
- 在数据限制的大型网络中需要有效的控制策略.
研究的目的:
- 引入一种使用有限状态信息社区的新型控制方法.
- 分析控制性能和社区规模之间的权衡.
- 调查可控性的作用格拉米安的条件号.
主要方法:
- 开发了一种基于地方状态信息的控制方法.
- 通过可控性格拉米安分析了社区规模和性能之间的理论关系.
- 在正规和随机网络上进行模拟.
- 将该方法应用于电网同步控制.
主要成果:
- 控制动作可以通过在有限的邻里中的状态来计算.
- 可控性格拉米安的条件号码决定了性能与邻近大小的权衡.
- 模拟证实了各种网络类型的理论发现.
- 电网同步控制证明了其实际应用.
结论:
- 只有使用局部信息才能有效控制大型网络.
- 减少国家信息社区规模对良好的格拉米安人的控制表现的影响最小.
- 这种方法克服了实时全球状态重建的局限性.
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