Exponential synchronization of coupled inertial neural networks with mixed delays via weighted integral inequalities

被引：13
|
作者：
Vong, Seakweng [1 ]
Shi, Chenyang [1 ]
Yao, Zhongsheng [1 ]
机构：
[1] Univ Macau, Dept Math, Ave Univ, Macau, Peoples R China
来源：
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL | 2020年 / 30卷 / 17期
关键词：
exponential synchronization; inertial delayed neural networks; linear matrix inequality; quantized pinning control; GENERAL DECAY SYNCHRONIZATION; TIME-VARYING DELAYS; STABILITY-CRITERIA; COMPLEX NETWORKS; SYSTEMS; CONSENSUS;
D O I：
10.1002/rnc.5183
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
We study the exponential synchronization of coupled inertial neural networks with both discrete-time delay and distributed delay by quantized pinning controllers. Novel integral inequalities, which generalize the Jensen-based inequality, are developed by choosing appropriate weight functions in our recent work. An exponential synchronization criterion is established by applying these inequalities to analyzing a Lyapunov-Krasovskii functional which takes mixed delays into account. Numerical simulations show that the criterion can reduce conservativeness when designing parameters of the controller.
引用
收藏
页码：7341 / 7354
页数：14
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