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

页码：4011 / 4022

页数：12

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