Topology Identi fication of Complex Dynamical Networks with Stochastic Perturbations
Complex networks widely exist in our world,thus attracts extensive attentions from the multidisciplinary nonlinear science community.Many existing papers investigated the geometric features,control and synchronization of complex dynamical networks provided with presumably known structures.While in many practical situations,the exact topology of a network is usually unknown or uncertain.Therefore,topology identi fication is of great importance in the research of complex networks. Moreover,noise is ubiquitous in nature and in man-made systems.Based on the LaSalle Invariance Principle of stochastic differential equation,an adaptive estimation technique is proposed to identify the exact topology of a weighted general complex dynamical network with stochastic perturbations.The validity of the proposed approach is illustrated with a coupled Duf fing network.
WU Xiaoqun ZHAO Xueyi L(U) Jinhu
State Key Laboratory of Software Engineering,Wuhan University,Wuhan 430072,P.R.China School of Mathe School of Mathematics and Statistics,Wuhan University,Wuhan 430072,P.R.China Academy of Mathematics and Systems Science,Chinese Academy of Sciences,Beijing 100190,P.R.China Scho
国际会议
The 30th Chinese Control Conference(第三十届中国控制会议)
烟台
英文
1-5
2011-07-01（万方平台首次上网日期，不代表论文的发表时间）