Global Exponential Synchronization of Memristive Competitive Neural Networks with Time-Varying Delay via Nonlinear Control

被引：35
作者：
Gong, Shuqing [1 ]
Yang, Shaofu [2 ]
Guo, Zhenyuan [1 ]
Huang, Tingwen [3 ]
机构：
[1] Hunan Univ, Coll Math & Econometr, Changsha 410082, Hunan, Peoples R China
[2] Southeast Univ, Sch Engn & Comp Sci, Nanjing 211189, Jiangsu, Peoples R China
[3] Texas A&M Univ Qatar, Sci Program, POB 23874, Doha, Qatar
来源：
NEURAL PROCESSING LETTERS | 2019年 / 49卷 / 01期
基金：
中国国家自然科学基金;
关键词：
Global exponential synchronization; Memristive; Competitive neural network; Time-varying delay; Nonlinear controller; STABILITY;
D O I：
10.1007/s11063-017-9777-1
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 investigates the synchronization problem of memristive competitive neural networks (MCNNs) with time-varying delay. Firstly, a novel nonlinear controller with a linear diffusive term and a discontinuous sign function term is introduced. Then, by using this controller, several sufficient conditions for global exponential synchronization of MCNNs are presented based on Lyapunov stability theory and some inequality techniques. Finally, two illustrative examples are provided to substantiate the effectiveness of the obtained theoretical results.
引用
收藏
页码：103 / 119
页数：17
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