%0 Journal Article
%T The weighted identification of a bipartite-graph complex dynamical network based on adaptive synchronization<br>基于自适应同步的二部图复杂动力网络的权值识别
%A JIA Zhen
%A WANG He
%A WANG Jun
%A LI Yong
%A <br>贾贞
%A 汪贺
%A 王俊
%A 李勇
%J 控制理论与应用
%D 2010
%I 
%X 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.
%K bipartite-graph
%K complex dynamical network
%K weighted identification<br>二部图
%K 复杂动力网络
%K 权值识别
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=A692AAB9B8EE3372C4CC97C03E9CBB41&yid=140ECF96957D60B2&vid=DB817633AA4F79B9&iid=CA4FD0336C81A37A&sid=D767283A3B658885&eid=4DB1E72614E68564&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=0&reference_num=14