Robust adaptive lag synchronization of uncertain fuzzy memristive neural networks with time-varying delays

被引：37

作者：

Liu, Yicheng ^{[1
]}

Li, Chuandong ^{[1
]}

Huang, Tingwen ^{[2
]}

Wang, Xin ^{[1
]}

机构：

[1] Southwest Univ, Coll Elect & Informat Engn, Chongqing 400715, Peoples R China

[2] Texas A&M Univ Qatar, Dept Math, Doha 23874, Qatar

来源：

NEUROCOMPUTING | 2016年 / 190卷

关键词：

Memristive neural networks; Robust; Lag synchronization; Uncertain parameters; Update laws; GLOBAL EXPONENTIAL STABILITY; DYNAMICAL NETWORKS; COMPLEX NETWORKS; STATE ESTIMATION; SYSTEMS;

D O I：

10.1016/j.neucom.2016.01.018

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 investigates the problem of robust adaptive lag synchronization of uncertain fuzzy memristive neural networks with time-varying delays. The memristive neural networks combining fuzzy model with uncertain parameters are described at length. Based on the Lyapunov functional method and novel update laws for parameter uncertainties and controller gainisome sufficient conditions which guarantee the slave systems robust adaptive lag synchronized with the master systems are obtained. Finally, two simulated examples are presented to show the effectiveness and applications of the obtained results. (C) 2016 Elsevier B.V. All rights reserved.

引用

页码：188 / 196

页数：9

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