Finite-time mixed outer synchronization of complex networks with time-varying delay and unknown parameters

被引：30
作者：
Jing, Taiyan [1 ,2 ]
Chen, Fangqi [2 ]
Li, Quanhong [3 ]
机构：
[1] Nanjing Univ Aeronaut & Astronaut, Dept Mech, Nanjing 210016, Jiangsu, Peoples R China
[2] Nanjing Univ Aeronaut & Astronaut, Dept Math, Nanjing 210016, Jiangsu, Peoples R China
[3] China Petr First Construct Corp, Luoyang 471023, Peoples R China
来源：
APPLIED MATHEMATICAL MODELLING | 2015年 / 39卷 / 23-24期
基金：
新加坡国家研究基金会; 中国国家自然科学基金;
关键词：
Complex networks; Unknown parameters; Finite-time mixed outer synchronization; Time-varying delay; Bidirectional coupling; Parameters identification; CHAOTIC SYSTEMS; ADAPTIVE SYNCHRONIZATION; DYNAMICAL NETWORKS;
D O I：
10.1016/j.apm.2015.03.051
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In this paper, the finite-time mixed outer synchronization (FMOS) of chaotic neural networks with time-varying delay and unknown parameters is investigated. By adjusting control strengths with the updated laws, we achieve the finite-time mixed outer synchronization between two complex networks based on the finite-time stability theory and linear matrix inequality. Furthermore, the unknown parameters estimation of the networks is identified in a finite time. Finally, numerical simulations are given to demonstrate the effectiveness of the analytical results obtained here. (C) 2015 Elsevier Inc. All rights reserved.
引用
收藏
页码：7734 / 7743
页数：10
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