Robust dissipativity control for uncertain neural networks with time-varying delays

被引：0
|
作者：
Qin, Xiaoyan [1 ]
机构：
[1] Zaozhuang Univ, Sch Math & Stat, Zaozhuang 277160, Peoples R China
来源：
PROCEEDINGS OF THE 36TH CHINESE CONTROL CONFERENCE (CCC 2017) | 2017年
关键词：
Robust dissipativity; Time-varying delay; Lyapunov-Kravsovskii functioal; Linear matrix inequality (LMI); STABILITY; SYNCHRONIZATION; 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：
In this paper, the problem of the robust dissipativity is studied for a class of uncertain neural networks with time-varying delays. By constructing appropriate Lyapunov-Krasovskii functional, using linear matrix inequality(LMI) technique, several new criteria are obtained, moreover, these conditions are expressed in terms of LMI and can be easily checked by Matlab LMI toolbox. Finally, one example is given to show the effectiveness of the obtained analytical results.
引用
收藏
页码：3972 / 3976
页数：5
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