New synchronization schemes for delayed chaotic neural networks with impulses

被引：21
|
作者：
Alzahrani, Eadah Ahmad [1 ]
Akca, Haydar [2 ,3 ]
Li, Xiaodi [4 ]
机构：
[1] Univ Dammam, Coll Sci, Dept Math, Al Rayan Campus, Dammam, Saudi Arabia
[2] Abu Dhabi Univ, Coll Arts, Dept Math, POB 59911, Abu Dhabi, U Arab Emirates
[3] Abu Dhabi Univ, Sci Fac, POB 59911, Abu Dhabi, U Arab Emirates
[4] Shandong Normal Univ, Sch Math Sci, Jinan 250014, Shandong, Peoples R China
来源：
NEURAL COMPUTING & APPLICATIONS | 2017年 / 28卷 / 09期
基金：
中国国家自然科学基金;
关键词：
Chaotic neural networks; Exponential synchronization; Linear matrix inequality; Mixed delays; Impulsive effects; TIME-VARYING DELAYS; BIDIRECTIONAL ASSOCIATIVE MEMORY; CONTINUOUSLY DISTRIBUTED DELAYS; EXPONENTIAL LAG SYNCHRONIZATION; STABILITY ANALYSIS; SECURE COMMUNICATION; DISCRETE; SYSTEMS; DESIGN;
D O I：
10.1007/s00521-016-2218-7
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper considers the exponential synchronization problem for chaotic neural networks with mixed delays and impulsive effects. The mixed delays include time-varying delays and unbounded distributed delays. Some delay-dependent schemes are designed to guarantee the exponential synchronization of the addressed systems by constructing suitable Lyapunov-Krasovskii functional and employing stability theory. The synchronization conditions are given in terms of LMIs, which can be easily checked via MATLAB LMI toolbox. Moreover, the synchronization conditions obtained are mild and more general than previously known criteria. Finally, two numerical examples and their simulations are given to show the effectiveness of the proposed chaos synchronization schemes.
引用
收藏
页码：2823 / 2837
页数：15
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