%0 Journal Article
%T More relaxed condition for dynamics of discrete time delayed Hopfield neural networks
%A Zhang Qiang
%A <br>张强
%J 中国物理 B
%D 2008
%I 
%X The dynamics of discrete time delayed Hopfield neural networks is investigated. By using a difference inequality combining with the linear matrix inequality, a sufficient condition ensuring global exponential stability of the unique equilibrium point of the networks is found. The result obtained holds not only for constant delay but also for time-varying delays.
%K discrete time
%K delayed Hopfield neural networks
%K difference inequality<br>离散时间
%K 动力系统
%K 延迟跳跃神经系统
%K 不等式
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=6E709DC38FA1D09A4B578DD0906875B5B44D4D294832BB8E&cid=47EA7CFDDEBB28E0&jid=CD8D6A6897B9334F09D8D1648C376FB4&aid=5CBEDFE5287BBB13A4F3E7EFDADDF589&yid=67289AFF6305E306&vid=BCA2697F357F2001&iid=CA4FD0336C81A37A&sid=F122871CC7EC92DC&eid=1F199509C0B6C4D6&journal_id=1009-1963&journal_name=中国物理&referenced_num=0&reference_num=0