Exponential stability and periodic oscillatory solution in BAM networks with delays

被引:365
作者
Cao, JD [1 ]
Wang, L
机构
[1] Southeast Univ, Dept Appl Math, Nanjing 210096, Peoples R China
[2] Chongqing Univ Posts & Telecommun, Dept Comp, Chongqing 400065, Peoples R China
来源
IEEE TRANSACTIONS ON NEURAL NETWORKS | 2002年 / 13卷 / 02期
关键词
bidirectional associative memory (BAM); delay; equilibrium; exponential stability; Lyapunov functional; neural circuits; periodic oscillatory solution;
D O I
10.1109/72.991431
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Both exponential stability and periodic oscillatory solution of bidirectional associative memory (BAM) networks with axonal signal transmission delays are considered by constructing suitable Lyapunov functional and some analysis techniques. Some simple sufficient conditions are given ensuring the global exponential stability and the existence of periodic oscillatory solutions of BAM with delays. These conditions are presented in terms of system parameters and have important leading significance in the design and applications of globally exponentially stable and periodic oscillatory neural circuits, for BAM with delays. In addition, two examples are given to illustrate the results.
引用
收藏
页码:457 / 463
页数:7
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