Adaptive Synchronization of Stochastic Memristor-Based Neural Networks with Mixed Delays

被引：14
作者：
Song, Yinfang [1 ]
Sun, Wen [1 ]
机构：
[1] Yangtze Univ, Sch Informat & Math, Jingzhou 434023, Peoples R China
来源：
NEURAL PROCESSING LETTERS | 2017年 / 46卷 / 03期
基金：
中国国家自然科学基金;
关键词：
Adaptive synchronization; Stochastic memristor-based neural networks; Mixed delays; Lyapunov functional; TIME-VARYING DELAYS; EXPONENTIAL SYNCHRONIZATION; PASSIFICATION; PASSIVITY; SYSTEMS;
D O I：
10.1007/s11063-017-9623-5
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, adaptive synchronization of stochastic memristor-based neural networks with mixed delays is investigated. By using the differential inclusions theory, adaptive control technique and stochastic Lyapunov method, two adaptive updated laws are designed and two synchronization criteria are derived for stochastic memristor-based neural networks with mixed delays. The derived criteria complement and improve the previously known results since stochastic perturbations and mixed delays are considered. Finally, two numerical examples are provided to illustrate the effectiveness of the theoretical results.
引用
收藏
页码：969 / 990
页数：22
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