Robust exponential stability of recurrent neural networks with multiple time-varying delays

被引：96
|
作者：
Zhang, Huaguang [1 ]
Wang, Zhanshan
Liu, Derong
机构：
[1] Northeastern Univ, Sch Informat Sci & Engn, Shenyang 110004, Liaoning, Peoples R China
[2] Shenyang Ligong Univ, Dept Informat Engn, Shenyang 110168, Liaoning, Peoples R China
来源：
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS | 2007年 / 54卷 / 08期
关键词：
terms-multiple time-varying delays; recurrent neural networks; robust exponential stability;
D O I：
10.1109/TCSII.2007.896799
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
New criteria for the uniqueness and global robust exponential stability are established for the equilibrium point of interval recurrent neural networks with multiple time-varying delays via a decomposition method and analysis technique. Results are presented in the form of linear matrix inequality, which can be solved efficiently. Two numerical examples are employed to show the effectiveness of the present results.
引用
收藏
页码：730 / 734
页数：5
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