Nonlinear Sciences – Adaptation and Self-Organizing Systems
Scientific paper
2004-11-10
IEEE Transactions on Automatic Control, 2005, 50 (6): 841-846
Nonlinear Sciences
Adaptation and Self-Organizing Systems
13 pages
Scientific paper
Today, complex networks have attracted increasing attention from various fields of science and engineering. It has been demonstrated that many complex networks display various synchronization phenomena. In this paper, we introduce a time-varying complex dynamical network model. We then further investigate its synchronization phenomenon and prove several network synchronization theorems. Especially, we show that synchronization of such a time-varying dynamical network is completely determined by the inner-coupling matrix, and the eigenvalues and the corresponding eigenvectors of the coupling configuration matrix of the network.
Chen Guanrong
Lu Jinhu
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