首页 | 本学科首页   官方微博 | 高级检索  
     检索      

Adaptive synchronization of neural networks with different attractors
作者姓名:Zhang Huaguang  Guan Huanxin and Wang Zhanshan
作者单位: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
基金项目:Supported by National Natural Science Foundation of China (Grant Nos 60534010 ,60572070 and 60521003),the Programfor ChangjiangScholars and Innovative Research Teamin University
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.


Adaptive synchronization of neural networks with different attractors
Authors:Zhang Huaguang  Guan Huanxin and Wang Zhanshan
Institution: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
Abstract: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.
Keywords:neural networks  attractor  adaptive synchronization  linear matrix inequality
本文献已被 CNKI 等数据库收录!
点击此处可从《自然科学进展》浏览原始摘要信息
点击此处可从《自然科学进展》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号