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Enhanced synchronization with proportional coupling in Kuramoto oscillator networks

Amit Pando, Eran Bernstein, Tomer Hacohen, Nathan Vigne, Hui Cao, Oren Raz, Asher Friesem, Nir Davidson

Abstract

We introduce a novel coupling scheme for maximizing the synchronization of Kuramoto oscillator networks under a fixed coupling budget. We show that by scaling the interaction strength between oscillators according to their frequency detuning, synchronization is enhanced. The coupling scheme induces a change in criticality, driving the system from a continuous phase transition to an explosive transition by changing a single parameter. Our work offers a general route to efficient synchronization in engineered networks and provides insight into the critical behavior of the Kuramoto model.

Enhanced synchronization with proportional coupling in Kuramoto oscillator networks

Abstract

We introduce a novel coupling scheme for maximizing the synchronization of Kuramoto oscillator networks under a fixed coupling budget. We show that by scaling the interaction strength between oscillators according to their frequency detuning, synchronization is enhanced. The coupling scheme induces a change in criticality, driving the system from a continuous phase transition to an explosive transition by changing a single parameter. Our work offers a general route to efficient synchronization in engineered networks and provides insight into the critical behavior of the Kuramoto model.

Paper Structure

This paper contains 9 sections, 31 equations, 9 figures.

Figures (9)

  • Figure 1: Synchronization with proportional and uniform coupling for a network of $N=512$ Kuramoto oscillators with normally distributed natural frequencies. (a): Average order parameter $\bar{r}$ vs. normalized coupling strength $K/K_c$ with proportional coupling (yellow circles) compared to that with uniform all-to-all coupling (blue squares). Dashed black line shows the exact solution of Eq. \ref{['kuramoto_eqn']} with uniform coupling for $N\rightarrow \infty$RevModPhys.77.137. Inset: Histogram of the order parameter $r$ for $K/K_c=1.09$ showing a bimodal distribution in the case of proportional coupling in contrast to a unimodal distribution in the case of uniform coupling. (b-c): Hysteresis curves for uniform (b) and proportional (c) coupling. Red circles (blue crosses) correspond to the forward (backward) direction of adiabatically changing $K/K_c$.
  • Figure 2: Effect of network size $N$ on synchronization with proportional coupling. (a) Synchronization order parameter $\bar{r}$ as a function of $N$ for $N = 16 \text{(pink)}$, $64\text{(blue)}$, $256\text{(orange)}$, $1024\text{(green)}$, $4096\text{(teal)}$.(b) Transition point $K(\bar{r}=0.5)/K_c$ (marked in a black dotted line in (a)) as function of $N$. (c) Inverse slope at the transition point as a function of $N$.
  • Figure 3: Synchronization order parameter $\bar{r}$ as a function of the normalized coupling strength $K/K_c$ with partially correlated proportional coupling. The correlation between the coupling terms and the detuning differences is quantified by $\varepsilon=\text{Corr}(K_{ij},\abs{\Omega_i-\Omega_j})$. Uniform coupling (dashed line) is very similar to the random coupling case.
  • Figure 4: Synchronization of a network of $N = 512$ oscillators for $K_{ij}\propto\abs{\Omega_i-\Omega_j}^p$. A sharp transition can be seen for $1<p<3$.
  • Figure 5: Enhanced synchronization with proportional coupling. (a)$p_{opt}$, the optimal value of $p$ that generates the maximal $\bar{r}$ for each $K/K_c$ for proportional coupling. (b)$\bar{r}_{max}$ obtained for each $p_{opt}$ of (a) (blue circles) is higher than for uniform coupling (black dots) for all values of $K/K_c$.
  • ...and 4 more figures