Study on robust H-stability for Hopfield neural networks with impulsive effects

被引:0
作者
Liu, B [1 ]
Liu, XZ
机构
[1] Huazhong Univ Sci & Technol, Dept Control Sci & Engn, Wuhan 430074, Peoples R China
[2] Univ Waterloo, Dept Appl Math, Waterloo, ON N2L 3G1, Canada
[3] Zhuzhou Inst Technol, Dept Informat & Computat Sci, Zhuzhou 412008, Peoples R China
来源
DYNAMICS OF CONTINUOUS DISCRETE AND IMPULSIVE SYSTEMS-SERIES B-APPLICATIONS & ALGORITHMS | 2003年
关键词
Hopfield neural networks; impulsive effects; robust stability; Riccati inequality; H-stability; I-stability;
D O I
暂无
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
The aim of this paper is to study the robust stability in the sense of Hopfield for Hopfield neural networks (HNN for short)with impulsive effects. By approaching the Lyapunov functions and Riccati inequality, some sufficient conditions for robust stability and robust asymptotical stability in the sense of Hopfield are established. Finally, numerical simulation results are given to demonstrate our results.
引用
收藏
页码:384 / 389
页数:6
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