  In an attempt to provide an efficient method for line disturbance
identification in complex networks of diffusively coupled agents, we recently
proposed to leverage the frequency mismatch. The frequency mismatch filters out
the intricate combination of interactions induced by the network structure and
quantifies to what extent the trajectory of each agent is affected by the
disturbance. In this previous work, we provided some analytical evidence of its
efficiency when the perturbation is assumed to be slow. In the present work, we
claim that the frequency mismatch performs actually well for most disturbance
regimes. This is shown through a series of simulations and is backed up by an
analytical argument. Therefore, we argue that the frequency mismatch is an
efficient and elegant tool for line disturbance location in complex networks of
diffusively coupled agents.

Adaptation and Self-Organizing Systems