信息与控制2016，Vol.45Issue(3)：335-341,347,8.DOI:10.13976/j.cnki.xk.2016.0335
节点维数不同的神经网络系统的有限时间同步
Finite-time Synchronization of the Neural Networks with Nodes of Different Dimensions
摘要
Abstract
The finite-time synchronization of the neural networks with nodes of different dimensions is investigated in this study.The drive system and response system are the coupling networks of different dimensions,indicating that the node numbers of each single network in these systems are not the same.The nonlinear feedback controller is designed for such dynamic neural networks.The sufficient conditions of finite-time synchronization of the dynamic neural networks are derived on the basis of Lyapunov stability theory.Finally,a numerical example is provided to demonstrate the effectiveness of the proposed method.关键词
有限时间同步/不同维数/非线性反馈控制器/李亚普诺夫稳定Key words
finite-time synchronization/different dimensions/nonlinear feedback controller/Lyapunov stability分类
数理科学引用本文复制引用
李晓君,麦洁银,谭满春..节点维数不同的神经网络系统的有限时间同步[J].信息与控制,2016,45(3):335-341,347,8.基金项目
国家自然科学基金资助项目(61572233,11471083) （61572233,11471083）
广东省自然科学基金资助项目(9151001003000005) （9151001003000005）
