National Changhua University of Education Institutional Repository : Item 987654321/13709
English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 6507/11669
造访人次 : 30001878      在线人数 : 265
RC Version 3.2 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
搜寻范围 进阶搜寻

jsp.display-item.identifier=請使用永久網址來引用或連結此文件: http://ir.ncue.edu.tw/ir/handle/987654321/13709

题名: A new delay-dependent approach to robust stability for uncertain hybrid bidirectional associative memory neural networks with time-varying delays
作者: Lu, Chien-Yu;Su, T. J.;Shyr, W. J.
贡献者: 工業教育與技術學系
日期: 2006-08
上传时间: 2012-08-27T10:47:14Z
出版者: IEEE
摘要: This paper considers the problem of global robust stability analysis for a class of bidirectional associative memory time-varying delayed neural
networks with norm-bounded time-varying parameter uncertainties. The activation functions are assumed to be globally Lipschitz continuous. Globally delaydependent robust stability criteria are derived in the form of linear matrix inequalities by introducing some relaxation matrices which can be chosen properly to lead to a less conservative result. Numerical examples are given to illustrate the significant improvement on the conservativeness of the delay bound over some reported results in the literature.
關聯: First International Conference on Innovative Computing, Information and Control, Aug. 30-Sept. 1, 2006: 591-594
显示于类别:[工業教育與技術學系] 會議論文

文件中的档案:

档案 大小格式浏览次数
index.html0KbHTML517检视/开启


在NCUEIR中所有的数据项都受到原著作权保护.

 

DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - 回馈