The weighted identification of a bipartite-graph complex dynamical network based on adaptive synchronization
基于自适应同步的二部图复杂动力网络的权值识别

This article provides a bipartite-graph complex dynamical network model and its weighted identification method.Based on the adaptive feedback technology,we design controllers to identify the weights of the network by constructing synchronous networks in the drive-response framework.The conclusion is proved by Lyapunov stability and LaSalle's invariance principle.Numerical simulations are given to demonstrate the effectiveness of the proposed method.