On contraction analysis for non-linear systems
Automatica (Journal of IFAC)
Stable concurrent synchronization in dynamic system networks
Neural Networks
Hi-index | 0.00 |
Based on partial contraction principle, we study the complete synchronisation for approximately globally coupled networks (almost all nodes are connected). By contraction for a system, we mean that initial conditions or temporary disturbances are forgotten exponentially fast, so that all trajectories of this system converge to a unique trajectory. We identify the region of coupling strength required for achieving synchronisation for these networks without using the eigenvalues of their coupling matrices. Avoiding the computation of the eigenvalues of coupling matrix, this method becomes more effective as to studying the problem of synchronisation for that kinds of network than most other approaches. Numerical examples verify the efficiency of this method.