Grass-roots optimization of coupled oscillator networks
Grass-roots optimization of coupled oscillator networks
复制标题
耦合振荡器网络的基层优化
DOI：
10.1103/physreve.106.034202
复制
发表时间：
2022
影响因子：
2.4
通讯作者：
Skardal, Per Sebastian
中科院分区：
文献类型：
--
作者：
Chamlagai, Pranick R.;Taylor, Dane;Skardal, Per Sebastian
尽管生物和物理系统中普遍存在同步是关键的，但现有的优化同步的理论依赖于全局信息，并且没有充分探索增强同步的局部机制。因此，对于旨在优化或修复同步系统的自组织的集体过程，例如，心肌细胞内旁分泌信号的动力学，缺乏了解。在这里，我们提出了“草根”同步优化，这是一种多尺度机制，其中较小的子系统的局部优化协作来共同优化整个系统。考虑到心脏组织和电网的模型，我们表明基层优化系统与全局优化系统相当，但它们还具有对目标攻击或子系统孤岛具有健壮性的额外优势。我们的发现激励和支持了对支持复杂系统自我优化的局部机制物理的进一步研究。
Despite the prevalence of biological and physical systems for which synchronization is critical, existing theory for optimizing synchrony depends on global information and does not sufficiently explore local mechanisms that enhance synchronization. Thus, there is a lack of understanding for the self-organized, collective processes that aim to optimize or repair synchronous systems, e.g., the dynamics of paracrine signaling within cardiac cells. Here we present “grass-roots” optimization of synchronization, which is a multiscale mechanism in which local optimizations of smaller subsystems cooperate to collectively optimize an entire system. Considering models of cardiac tissue and a power grid, we show that grass-roots-optimized systems are comparable to globally optimized systems, but they also have the added benefit of being robust to targeted attacks or subsystem islanding. Our findings motivate and support further investigation into the physics of local mechanisms that can support self-optimization for complex systems.