Synchronization of Delayed BAM Neural Networks with Reaction-Diffusion Terms

作     者：SHENG Li~1,GAO Ming~2 1.College of Information and Control Engineering,China University of Petroleum(East China),Dongying 257061,P.R.China 2.College of Information and Electrical Engineering,Shandong University of Science and Technology,Qingdao 266510,P.R.China 

会议名称：《第三十届中国控制会议》

会议日期：2011年

学科分类：0711[理学-系统科学] 12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 07[理学] 081104[工学-模式识别与智能系统] 08[工学] 0835[工学-软件工程] 081101[工学-控制理论与控制工程] 0811[工学-控制科学与工程] 071102[理学-系统分析与集成] 081103[工学-系统工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported by Research Fund for the Doctoral Program of Higher Education of China(No20103718120006) Natural Science Foundation of Shandong Province of China(NoZR2010FQ013) the Key Project of Chinese Ministry of Education(No210268) 

关 键 词：Asymptotic Synchronization BAM Neural Networks Reaction-Diffusion Terms Lyapunov Functional 

摘      要：正In this paper,the problem of synchronization for a class of delayed BAM neural networks with reaction-diffusion terms is *** using the drive-response concept,a feedback control law is derived to achieve the state synchronization of two identical BAM neural networks with reaction-diffusion ***,based on Lyapunov stability method and Young inequality lemma,a sufficient condition is obtained to ensure asymptotic synchronization of the models *** example is given to show the effectiveness of the obtained results.