Finite-Time Synchronization of Complex-Valued Neural Networks with Multiple Time-Varying Delays and Infinite Distributed Delays

被引：0
作者：
Yanjun Liu
Yu Qin
Junjian Huang
Tingwen Huang
Xinbo Yang
机构：
[1] Nankai University,School of Mathematical Science
[2] Chongqing University of Education,Key Laboratory of Machine Perception and Childrens Intelligence Development
[3] Texas A&M University at Qatar,undefined
来源：
Neural Processing Letters | 2019年 / 50卷
关键词：
Finite-time synchronization; Complexed-valued neural networks; Multiple time-varying delays; Infinite distributed delays; Lyapunov–Krasovskii function;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This paper investigates finite-time synchronization of complexed-valued neural networks with multiple time-varying delays and infinite distributed delays. By separating the complex-valued neural networks into the real and the imaginary parts, the corresponding equivalent real-valued systems are obtained. Some sufficient conditions are derived for finite-time synchronization of the drive-response system based on the new Lyapunov–Krasovskii function and the new analysis techniques. Numerical examples demonstrate the effectiveness of the theoretical results.
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收藏
页码：1773 / 1787
页数：14
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