Lag quasi-synchronization for memristive neural networks with switching jumps mismatch

被引：47
|
作者：
Ding, Sanbo [1 ]
Wang, Zhanshan [1 ]
机构：
[1] Northeastern Univ, Sch Informat Sci & Engn, Shenyang 110819, Liaoning, Peoples R China
来源：
NEURAL COMPUTING & APPLICATIONS | 2017年 / 28卷 / 12期
基金：
中国国家自然科学基金;
关键词：
Memristive neural networks; Lag quasi-synchronization; Switching jumps mismatch; TIME-VARYING DELAYS; PERIODICALLY INTERMITTENT CONTROL; EXPONENTIAL SYNCHRONIZATION; GAIN FLUCTUATIONS;
D O I：
10.1007/s00521-016-2291-y
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 is concerned with the lag quasi-synchronization for memristive neural networks (MNNs) with switching jumps mismatch. The inherent characteristic of MNNs is fully taken into account. Based on Lyapunov-Krasovskii functional and differential inclusions theory, intermittent control approach is utilized to realize the exponential lag quasi-synchronization of the considered model. The error level is closely related to the switching jumps. In addition, a simple design procedure of controller is presented to ensure that the synchronization error between the master system and the slave system converges to a predetermined level. Two numerical examples are offered to show the effectiveness of the proposed method.
引用
收藏
页码：4011 / 4022
页数：12
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