Stability analysis for a class of nonlinear neural networks with multiple delays

被引：0
|
作者：
Tang, Mei-Lan [1 ]
Liu, Xin-Ge [1 ]
机构：
[1] Cent S Univ, Fac Sch Math Sci & Comp Technol, Changsha 410083, Hunan, Peoples R China
来源：
PROCEEDINGS OF 2008 IEEE INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL, VOLS 1 AND 2 | 2008年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper investigates the global asymptotic stability (GAS) for a class of nonlinear neural networks with multiple delays. Based on Lyapunov stability theory, homeo-morphism and the linear matrix inequality (LMI) technique, a new sufficient condition is proposed for (i) existence (ii) uniqueness and (iii) global asymptotic stability of equilibrium point, of a class of nonlinear neural networks without assuming that activation functions are bounded. An example is given to illustrate the effectiveness of our new stability criteria.
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页码：1492 / 1495
页数：4
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