文献类型：期刊文献

英文题名：Synchronization criteria for inertial memristor-based neural networks with linear coupling

作者：Li, Ning[1,2];Zheng, Wei Xing[2]

第一作者：Li, Ning;李宁

通讯作者：Zheng, WX[1]

机构：[1]Henan Univ Econ & Law, Coll Math & Informat Sci, Zhengzhou 450046, Henan, Peoples R China;[2]Western Sydney Univ, Sch Comp Engn & Math, Sydney, NSW 2751, Australia

第一机构：河南财经政法大学数学与信息科学学院

通讯机构：[1]corresponding author), Western Sydney Univ, Sch Comp Engn & Math, Sydney, NSW 2751, Australia.

年份：2018

卷号：106

起止页码：260-270

外文期刊名：NEURAL NETWORKS

收录：;EI(收录号：20183205666667);Scopus(收录号：2-s2.0-85051049501);WOS:【SCI-EXPANDED(收录号:WOS:000445015200022)】；

基金：This work was supported in part by the National Natural Science Foundation of China under Grant 61603125, the Australian Research Council under Grant DP120104986, the China Scholarship Council under Grant 201708410029, and the Key Program of He'nan Universities under Grant 17A120001.

语种：英文

外文关键词：Memristive neural networks; Inertial term; Interval uncertain systems; Linear coupling

摘要：This paper is concerned with the synchronization problem for an array of memristive neural networks with inertial term, linear coupling and time-varying delay. Since parameters in the connection weight matrices are state-dependent, that is to say, the connection weight matrices jump in certain intervals, the mathematical model of the coupled inertial memristive neural networks can be considered as an interval parametric uncertain system. Based on the interval parametric uncertainty theory, two different synchronization criteria for memristor-based neural networks are obtained by applying the p-matrix measure (p = 1, 2, infinity, omega), Halanay inequality and constructing suitable Lyapunov-Krasovskii functionals. Two simulation examples with fully-connected and nearest neighboring topology are presented to demonstrate the efficiency of the obtained theoretical results. (c) 2018 Elsevier Ltd. All rights reserved.