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原文連結
論文資訊
- 類型：已發表論文
- 日期：2021
摘要
Oscillatory activity is ubiquitous in natural and engineered 網絡 systems. Yet, understanding the structure- function relationship in oscillator 網絡s remains an unanswered fundamental question of modern science. In this work, we present a method to prescribe exact and robust patterns of functional relations from local 網絡 interactions of the oscillators. To quantify the behavioral synchrony between 智能體s we introduce the notion of functional patterns, which encode the pairwise relationships between the oscillators’ phases – akin to the Pearson correlation coefficient between two time series. The main contribution of this work is the development of a method to enforce a desired functional pattern by optimally tailoring the oscillators’ parameters. Importantly, our method is agnostic to the scale
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