Global exponential convergence of neutral-type competitive neural networks with multi-proportional delays, distributed delays and time-varying delay in leakage delays

被引：29
作者：
Aouiti, Chaouki [1 ,2 ]
Assali, El abed [1 ,2 ]
Cao, Jinde [3 ,4 ,5 ]
Alsaedi, Ahmed [6 ]
机构：
[1] Univ Carthage, Dept Math, Fac Sci Bizerta, Res Unit Math, UR13ES47,BP W, Zarzouna 7021, Bizerta, Tunisia
[2] Univ Carthage, Dept Math, Fac Sci Bizerta, Res Unit Applicat, UR13ES47,BP W, Zarzouna 7021, Bizerta, Tunisia
[3] Southeast Univ, Dept Math, Nanjing, Jiangsu, Peoples R China
[4] Southeast Univ, Res Ctr Complex Syst & Network Sci, Nanjing, Jiangsu, Peoples R China
[5] King Abdulaziz Univ, Dept Math, Fac Sci, Jeddah, Saudi Arabia
[6] King Abdulaziz Univ, Dept Math, NAAM, Res Grp, Jeddah, Saudi Arabia
来源：
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE | 2018年 / 49卷 / 10期
关键词：
Neutral-type competitive neural networks; leakage delay; proportional delay; exponential convergence; ALMOST-PERIODIC SOLUTION; STABILITY ANALYSIS; EXISTENCE; CRITERIA; SYSTEMS; MULTISTABILITY; TERM;
D O I：
10.1080/00207721.2018.1496297
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 is concerned with a class of neutral-type competitive neural networks with multi-proportional delays, distributed delays and leakage delays. By employing the differential inequality theory, some sufficient conditions are given to ensure that all solutions of the addressed system converge exponentially to zero vector. An illustrative example is also given at the end of this paper to show the effectiveness of our results.
引用
收藏
页码：2202 / 2214
页数：13
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