Exponential Stabilization of Neutral-Type Neural Networks with Interval Nondifferentiable and Distributed Time-Varying Delays

被引：1
|
作者：
Weera, W. [1 ,2 ]
Niamsup, P. [1 ,2 ]
机构：
[1] Chiang Mai Univ, Dept Math, Chiang Mai 50200, Thailand
[2] Ctr Excellence Math CHE, Bangkok 10400, Thailand
来源：
ABSTRACT AND APPLIED ANALYSIS | 2012年
关键词：
ASYMPTOTIC STABILITY; ACTIVATION FUNCTIONS; LINEAR-SYSTEMS; CRITERION;
D O I：
10.1155/2012/101426
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
The problem of exponential stabilization of neutral-type neural networks with various activation functions and interval nondifferentiable and distributed time-varying delays is considered. The interval time-varying delay function is not required to be differentiable. By employing new and improved Lyapunov-Krasovskii functional combined with Leibniz-Newton's formula, the stabilizability criteria are formulated in terms of a linear matrix inequalities. Numerical examples are given to illustrate and show the effectiveness of the obtained results.
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页数：21
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