在自适应振荡器网络中,同步集群爆发
Mengke Wei1,2,3, Andreas Amann2,4, Oleksandr Burylko2,5,6
1School of Mathematical Science, Yangzhou University, Yangzhou 225002, China.
Chaos (Woodbury, N.Y.)
|December 24, 2024
概括
这项研究揭示了适应性网络中的同步集群爆发,显示了集群和全球同步之间的周期性转移. 一个最小模型阐明了这种复杂的动态行为背后的机制.
科学领域:
- 复杂的系统复杂的系统.
- 非线性动力学是一种非线性动力学.
- 网络科学 网络科学
背景情况:
- 适应性动态网络在现实世界的现象中普遍存在.
- 了解这些网络中的同步动态至关重要.
- 阶段振荡器网络为研究集体行为提供了一个基本模型.
研究的目的:
- 探索适应性振荡器网络中的同步动态.
- 为了研究同步集群爆发的现象.
- 为了阐明这种爆发行为的潜在机制.
主要方法:
- 适应合相振荡器的数值模拟.
- 对简化模型的分析,以了解新出现的动态.
- 调研适应系统中的对称性和顺序参数.
主要成果:
- 观察到同步集群的出现,充满周期性过渡.
- 确定了一个相振荡器的最小模型,具有复杂值适应.
- 由于适应性诱导的对称性,证明了稳定的爆破解决方案与不同的库拉莫托顺序参数的共存.
结论:
- 同步集群爆发是适应性网络中一个关键的新兴行为.
- 一个简化的相振荡器模型捕捉了这种现象的基本动态.
- 系统适应性引入了导致各种稳定的同步状态的对称性.
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