arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1801.05660nlin.AOnlin.CD
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相位受抑振子网络的完全同步

Perfect synchronization in networks of phase-frustrated oscillators

Prosenjit Kundu, Chittaranjan Hens, Baruch Barzel, Pinaki Pal

摘要:

同步相位受抑的仓本振荡器是一个挑战,已经从神经网络应用到电网,这是一个回避的问题,因为即使是很小的相位滞后也会导致振荡器避免同步。在这里,我们建设性地展示了如何从战略上选择最佳频率集,捕获所有振荡器的固有频率,对于给定的网络和相位滞后,这将确保完美的同步。我们发现,高水平的同步持续在附近的最佳设置,允许一定程度的偏差的频率没有显着退化的同步。展示我们的结果一阶和二阶相位受挫仓本动力学,我们实现它们的模型和真实的电网网络,显示如何实现同步在相位受挫的环境。

英文摘要:

Synchronizing phase frustrated Kuramoto oscillators, a challenge that has found applications from neuronal networks to the power grid, is an eluding problem, as even small phase-lags cause the oscillators to avoid synchronization. Here we show, constructively, how to strategically select the optimal frequency set, capturing the natural frequencies of all oscillators, for a given network and phase-lags, that will ensure perfect synchronization. We find that high levels of synchronization are sustained in the vicinity of the optimal set, allowing for some level of deviation in the frequencies without significant degradation of synchronization. Demonstrating our results on first and second order phase-frustrated Kuramoto dynamics, we implement them on both model and real power grid networks, showing how to achieve synchronization in a phase frustrated environment.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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