在适应性重新连接网络中出现的顺序
1Indian Institute of Science Education and Research Mohali, Knowledge City, SAS Nagar, Sector 81, Manauli PO 140 306, Punjab, India.
Chaos (Woodbury, N.Y.)
|July 24, 2024
概括
我们开发了适应性策略,通过根据同步错误调整连接来控制网络动态. 这些方法有效地抑制混乱,并找到有序的网络配置.
科学领域:
- 复杂的系统复杂的系统.
- 网络科学 网络科学
- 混沌理论 混沌理论
背景情况:
- 复杂的网络经常表现出复杂的动态状态.
- 控制这些状态,特别是混乱,对于系统的稳定性和功能至关重要.
- 需要适应性机制来导航广的配置空间,以实现所需的网络行为.
研究的目的:
- 提出和评估适应性链路变更策略,以实现复杂网络中的有序动态状态.
- 研究基于全球同步错误的反机制,用于网络适应.
- 为了证明这些策略在合的混乱地图系统中抑制混乱的有效性.
主要方法:
- 提出了两种适应策略:基于值的和与错误成比例的链接变化.
- 全球同步错误被用作反来指导网络连接调整.
- 这些策略在两个结合混沌地图的原型系统上进行了测试.
主要成果:
- 这两种适应性策略都成功地引导网络在定义的宽容范围内抑制混乱.
- 在关键合强度后,观察到一个明确的过渡到低平均同步误差.
- 链接适应的时间和分数显著下降,表明趋于稳定,有序的配置.
结论:
- 适应性链路更改策略是有效的搜索和发现网络配置产生有针对性的动态的有效搜索和发现.
- 这些方法为控制扩展互动系统和理解复杂网络中的自然规范化机制提供了潜力.
- 这些发现强调了基于反的适应在实现所需的网络状态和抑制混乱等不良动态方面发挥的作用.
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