Adaptive synchronization of neural networks with different attractors

作     者：Zhang Huaguang1, Guan Huanxin1 and Wang Zhanshan1,2(1. School of Information Science and Engineering, Northeastern University, Shenyang 110004, China 2. School of Information Science and Engineering, Shenyang Ligong University, Shenyang 110168, China) 

作者机构：School of Information Science and Engineering Northeastern University Shenyang 110004 China School of Information Science and Engineering Shenyang Ligong University Shenyang 110168 China 

出 版 物：《Progress in Natural Science:Materials International》 (自然科学进展·国际材料(英文))

年 卷 期：2007年第17卷第6期

页      面：687-695页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 08[工学] 0805[工学-材料科学与工程（可授工学、理学学位）] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0702[理学-物理学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：Supported by National Natural Science Foundation of China (Grant Nos 60534010 ,60572070 and 60521003) the Programfor ChangjiangScholars and Innovative Research Teamin University 

主　　题：neural networks attractor adaptive synchronization linear matrix inequality. 

摘      要：This paper aims to present an adaptive control scheme for the synchronization of two classes of uncertain neural networks with different attractors. A new sufficient condition for the global synchronization of two kinds of neural networks with different attractors is derived. The proposed control method is efficient and easy to be implemented. Numerical simulation is used to show the effectiveness of the obtained result.