Exponential synchronization of coupled memristive neural networks with time delays

被引：64
|
作者：
Wang, Guan [1 ,2 ]
Shen, Yi [1 ,2 ]
机构：
[1] Huazhong Univ Sci & Technol, Dept Control Sci & Engn, Wuhan 430074, Hubei, Peoples R China
[2] Minist China, Key Lab Image Proc & Intelligent Control Educ, Wuhan 430074, Hubei, Peoples R China
来源：
NEURAL COMPUTING & APPLICATIONS | 2014年 / 24卷 / 06期
基金：
中国国家自然科学基金;
关键词：
Exponential synchronization; Memristor; Coupled neural networks; Time delays; State-dependent switching; STABILITY ANALYSIS; GLOBAL SYNCHRONIZATION; ROBUST SYNCHRONIZATION; DYNAMICS;
D O I：
10.1007/s00521-013-1349-3
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, the model of coupled memristive neural networks with time delays is established, and sufficient conditions are obtained that guarantee the exponential synchronization for such system. Memristive network exhibits state-dependent switching behaviors due to the physical properties of memristor. It is demonstrated that the synchronization performance is largely dependent on the coupling pattern and strength among memristive neural networks. Moreover, the information exchange graph of the underlying network topology need not be undirected or strongly connected. Finally, numerical simulations are given to verify the usefulness and effectiveness of our results.
引用
收藏
页码：1421 / 1430
页数：10
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