Quantized intermittent control tactics for exponential synchronization of quaternion-valued memristive delayed neural networks

被引：32

作者：

Zhang, Tingting ^{[1
]}

Jian, Jigui ^{[1
]}

机构：

[1] China Three Gorges Univ, Coll Sci, Yichang 443002, Hubei, Peoples R China

来源：

ISA TRANSACTIONS | 2022年 / 126卷

基金：

中国国家自然科学基金;

关键词：

Quaternion; Memristive neural network; Exponential synchronization; Quantized intermittent control; STABILITY ANALYSIS; ORDER; STABILIZATION; DISCRETE; SYSTEMS;

D O I：

10.1016/j.isatra.2021.07.029

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 article studies the global exponential synchronization (GES) of quaternion-valued memristive delayed neural networks (QVMDNNs) by quantized intermittent control (QIC). Without decomposing the original systems into usual real-valued or complex-valued ones, the discussed system is directly processed in both cases of the differential inclusion theory. Based on two QIC strategies and applying Lyapunov functional method and inequality techniques, several new delay-dependent criteria in the form of real-valued algebraic inequalities are directly derived to assure the GES of the concerned system. Compared to the traditional feedback control, the QIC strategy can reduce the control expenses and shorten time to achieve the GES. Ultimately, two examples are given to validate the effectiveness and advantages of the proposed outcomes. (C) 2021 ISA. Published by Elsevier Ltd. All rights reserved.

引用

页码：288 / 299

页数：12

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