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Stability analysis of BAM neural networks with time-varying delays
作者姓名:ZHANG  Huaguang  and  WANG  Zhanshan
作者单位:School of Information Science and Engineering,Northeastern University,Shenyang 110004,China; Department of Information Engineering,Shenyang Ligong University,Shenyang 110168,China
基金项目:国家自然科学基金;教育部长江学者和创新团队发展计划
摘    要:Some new criteria for the global asymptotic stability of the equilibrium point for the bi-directional associative memory neural networks with time varying delays are presented. The obtained results present the structure of linear matrix inequality which can be solved efficiently. The comparison with some previously reported results in the literature demonstrates that the results in this paper provide one more set of criteria for determining the stability of the bi-directional associative memory neural networks with delays.


Stability analysis of BAM neural networks with time-varying delays
ZHANG Huaguang and WANG Zhanshan.Stability analysis of BAM neural networks with time-varying delays[J].Progress in Natural Science,2007,17(2):206-211.
Authors:ZHANG Huaguang  WANG Zhanshan
Abstract:Some new criteria for the global asymptotic stability of the equilibrium point for the bi-directional associative memory neural networks with time varying delays are presented. The obtained results present the structure of linear matrix inequality which can be solved efficiently. The comparison with some previously reported results in the literature demonstrates that the results in this paper provide one more set of criteria for determining the stability of the bi-directional associative memory neural networks with delays.
Keywords:bi-directional associative memory (BAM) neural networks  time varying delays  global asymptotic stability  linear matrix inequality (LMI)
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