Improved delay-dependent criteria for uncertain neural networks with two additive time-varying delay components

被引：0
|
作者：
Wang, Xin [1 ]
She, Kun [1 ]
Zhong, Shouming [2 ]
Yang, Huilan [2 ]
机构：
[1] Univ Elect Sci & Technol China, Sch Informat & Software Engn, Chengdu 611731, Sichuan, Peoples R China
[2] Univ Elect Sci & Technol China, Sch Math Sci, Chengdu 611731, Sichuan, Peoples R China
来源：
PROCEEDINGS OF THE 35TH CHINESE CONTROL CONFERENCE 2016 | 2016年
关键词：
Neural networks; Asymptotic stability; Additive delay components; Time-varying delay; STABILITY-CRITERIA; SYSTEMS;
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 issue of delay-dependent stabilization for uncertain neural networks with two additive time-varying delay components. For one thing, the important time-varying information h(1)(t), h(2)(t) and h(t) has been taken full into account. On the other hand, we take full use of the cross terms of neuron activation functions and some effective integral inequalities. Finally, less conservative delay-dependent stability conditions are derived in terms of linear matrix inequalities. Two numerical examples are given to illustrate the feasibility and effectiveness of the proposed approach.
引用
收藏
页码：3468 / 3473
页数：6
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