Synchronization for Discrete-Time Memristive Recurrent Neural Networks with Time-Delays

被引：0
|
作者：
Liu, Hongjian [1 ,3 ]
Wang, Zidong [2 ]
Shen, Bo [1 ]
Kan, Xiu [4 ]
机构：
[1] Donghua Univ, Sch Informat Sci & Technol, Shanghai 200051, Peoples R China
[2] Brunel Univ London, Dept Comp Sci, Uxbridge UB8 3PH, Middx, England
[3] Anhui Polytech Univ, Sch Sci, Wuhu 241000, Peoples R China
[4] Shanghai Univ Engn Sci, Coll Elect & Elect Engn, Shanghai 201620, Peoples R China
来源：
2015 34TH CHINESE CONTROL CONFERENCE (CCC) | 2015年
关键词：
Memristive neural networks; Synchronization; Time delays; GLOBAL EXPONENTIAL STABILITY; VARYING DELAYS; DISTRIBUTED DELAYS;
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 the synchronization problem for a class of discrete-time memristive recurrent neural networks with time-delays. By using the piecewise Lyapunov function technique, sufficient conditions are obtained to guarantee the exponential synchronization of the discrete-time memristive neural networks with time-delays. By recurring to the delay partitioning method and the free-weighting matrix technique, the conservatism of the obtained results is reduced. Finally, a numerical example is presented to demonstrate the effectiveness of the derived theoretical results.
引用
收藏
页码：3478 / 3483
页数：6
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