TY - JOUR
T1 - Synchronization in networks of diffusively coupled nonlinear systems
T2 - robustness against time-delays
AU - Murguia, Carlos
AU - Nijmeijer, Henk
AU - Ruths, Justin
PY - 2017/10/1
Y1 - 2017/10/1
N2 - In this manuscript, we study the problem of robust synchronization in
networks of diffusively time-delayed coupled nonlinear systems. In
particular, we prove that, under some mild conditions on the
input-output dynamics of the systems and the network topology, there
always exists a unimodal region in the parameter space (coupling
strength versus time-delay), such that if they belong to this region,
the systems synchronize. Moreover, we show how this unimodal region
scales with the network topology, which, in turn, provides useful
insights on how to design the network topology to maximize robustness
against time-delays. The results are illustrated by extensive simulation
experiments of time-delayed coupled Hindmarsh-Rose neural chaotic
oscillators.
AB - In this manuscript, we study the problem of robust synchronization in
networks of diffusively time-delayed coupled nonlinear systems. In
particular, we prove that, under some mild conditions on the
input-output dynamics of the systems and the network topology, there
always exists a unimodal region in the parameter space (coupling
strength versus time-delay), such that if they belong to this region,
the systems synchronize. Moreover, we show how this unimodal region
scales with the network topology, which, in turn, provides useful
insights on how to design the network topology to maximize robustness
against time-delays. The results are illustrated by extensive simulation
experiments of time-delayed coupled Hindmarsh-Rose neural chaotic
oscillators.
KW - Computer Science - Systems and Control
UR - https://ui.adsabs.harvard.edu/abs/2017arXiv171011276M/abstract
M3 - Article
JO - arXiv
JF - arXiv
M1 - 1710.11276vl
ER -