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More relaxed condition for dynamics of discrete time delayed Hopfield neural networks
作者姓名:张强
作者单位:Liaoning Key Laboratory of Intelligent Information Processing, Dalian University, Dalian 116622, China
基金项目:Project supported by the Program for New Century Excellent Talents in University (Grant No NCET-06-0298), the Program for Liaoning Excellent Talents in University (Grant No RC-05-07), the Program for Study of Science of the Educational Department of Liaon
摘    要: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.

关 键 词:离散时间  动力系统  延迟跳跃神经系统  不等式
收稿时间:2007-02-04
修稿时间:2007-03-13

More relaxed condition for dynamics of discrete time delayed Hopfield neural networks
Zhang Qiang.More relaxed condition for dynamics of discrete time delayed Hopfield neural networks[J].Chinese Physics B,2008,17(1):125-128.
Authors:Zhang Qiang
Institution:Liaoning Key Laboratory of Intelligent Information Processing, Dalian University, Dalian 116622, China
Abstract: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.
Keywords:discrete time  delayed Hopfield neural networks  difference inequality
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