Synchronization of an Array of Neutral-type Neural Networks via Feedback Control
In this letter,the problem of global asymptotical synchronization through linear feedback control for a class of complex networks with time-varying delayed couplings is considered.Each node in the network is composed of a class of delayed neural networks described by a nonlinear delay differential equation of neutral-type.By using the Lyapunov functional method and some properties of Kronecker product,a suf ficient condition that globally asymptotically stabilizes the error system is derived, which ensures the dynamics of whole networks synchronize with the desirable synchronization manifold.A numerical example is presented to show the effectiveness and applicability of the proposed approach.
ZHANG Yijun XU Shengyuan
School of Automation,Nanjing University of Science and Technology,Nanjing 210094,P.R.China
国际会议
The 30th Chinese Control Conference(第三十届中国控制会议)
烟台
英文
1-6
2011-07-01（万方平台首次上网日期，不代表论文的发表时间）