Model and Weight Identification of a Weighted Bipartite Graph Complex Dynamical Network

Luo Fu-yan · Journal of Guilin University of Technology · 2010

A weighted bipartite graph complex dynamical network model is proposed.Based on adaptive feedback technology,a general method is provided to identify the weight of the network by constructing synchronous networks in drive-response framework.The conclusion is proved theoretically based on LaSalle invariance principle.Some numerical simulations with the chaotic Lorenz and Lu systems are given to demonstrate the effectiveness of the proposed method.

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