Synchronization of memristive neural networks with leakage and time-varying delays under non-chattering quantized control

被引：0

作者：

Liu, Lirong ^{[1
]}

Bao, Haibo ^{[1
]}

机构：

[1] Southwest Univ, Sch Math & Stat, Chongqing 400715, Peoples R China

来源：

2022 34TH CHINESE CONTROL AND DECISION CONFERENCE, CCDC | 2022年

关键词：

Memristive neural networks; synchronization; leakage delay; quantized non-chattering control; STABILIZATION;

D O I：

10.1109/CCDC55256.2022.10033919

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 aims to explore the synchronization of memristive neural networks (MNNs), in which two nonidentical delays comprise leakage and time-varying delays. To lessen the communication burden and settle these difficulties caused by parameter mismatch and time delays, an innovative quantized controller without chattering phenomenon is devised. By utilizing the Lyapunov functionals, the interval matrix method and inequality techniques, synchronization criteria of two MNNs are derived. Furthermore, the adaptive law of the quantized controller with less conservative control gains is also designed. Ultimately, two examples are performed to testify the availability of the theoretical analysis.

引用

页码：4433 / 4438

页数：6

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