Impact of intra and inter-cluster coupling balance on the performance of nonlinear networked systems

TL;DR

This paper investigates how balancing intra- and inter-cluster couplings affects the performance of nonlinear networked systems, revealing optimal configurations and spectral properties that enhance stability and controllability.

Contribution

It introduces new metrics for system performance based on coupling strengths and provides analytical insights into how spectral differences influence these metrics.

Findings

Spectral differences between Laplacian matrices impact performance metrics.

An optimal balance of intra- and inter-cluster couplings maximizes system performance.

Symmetry properties relate to collective behavior and controllability.

Abstract

The dynamical and structural aspects of cluster synchronization (CS) in complex systems have been intensively investigated in recent years. Here, we study CS of dynamical systems with intra and inter-cluster couplings. We propose new metrics that describe the performance of such systems and evaluate them as a function of the strength of the couplings within and between clusters. We obtain analytical results that indicate that spectral differences between the Laplacian matrices associated with the partition between intra and inter-couplings directly affect the proposed metrics of system performance. Our results show that the dynamics of the system might exhibit an optimal balance that optimizes its performance. Our work provides new insights into the way specific symmetry properties relate to collective behavior, and could lead to new forms to increase the controllability of complex systems and to optimize their stability.