Finite-time Synchronization of Coupled Cohen-Grossberg Neural Networks with Time-varying Delays

被引:0
|
作者
Qiu, Shui-Han [1 ]
Huang, Yan-Li [1 ]
Wang, Jin-Liang [1 ]
Ren, Shun-Yan [2 ]
Liu, Dong-Fang [3 ]
机构
[1] Tianjin Polytech Univ, Sch Comp Sci & Software Engn, Tianjin 300387, Peoples R China
[2] Tianjin Polytech Univ, Sch Mech Engn, Tianjin 300387, Peoples R China
[3] Tianjin Tianhang Wisdom Technol Co Ltd, Tianjin 300452, Peoples R China
基金
中国国家自然科学基金;
关键词
Finite-time synchronization; Coupled Cohen-Grossberg neural networks; Nonlinear coupling; Linear coupling; Time-varying delays; PATTERN-FORMATION;
D O I
暂无
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 finite-time synchronization for two models of coupled Cohen-Grossberg neural networks with time-varying delays. In the first one, linearly coupled Cohen-Grossberg neural networks is considered. In the second one, nonlinearly coupled Cohen-Grossberg neural networks is discussed. Based on finite-time stability theory, some inequality techniques, and designed controllers, some criteria which make the coupled Cohen-Grossberg neural networks with linear coupling and nonlinear coupling realize synchronization are derived respectively. Furthermore, the settling times of synchronization are also estimated. Finally, a numerical example is given to confirm the effectiveness of the proposed results.
引用
收藏
页码:3966 / 3971
页数:6
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