Adaptive Synchronization of Fractional Neural Networks with Unknown Parameters and Time Delays

被引：41
|
作者：
Ma, Weiyuan [1 ,2 ]
Li, Changpin [3 ]
Wu, Yujiang [1 ]
Wu, Yongqing [4 ,5 ]
机构：
[1] Lanzhou Univ, Sch Math & Stat, Lanzhou 730000, Peoples R China
[2] Northwest Univ Nationalities, Sch Math & Comp Sci, Lanzhou 730000, Peoples R China
[3] Shanghai Univ, Dept Math, Shanghai 200444, Peoples R China
[4] Liaoning Tech Univ, Basic Teaching Dept, Huludao 125105, Peoples R China
[5] Fudan Univ, Sch Comp Sci, Shanghai Key Lab Intelligent Informat Proc, Shanghai 200433, Peoples R China
来源：
ENTROPY | 2014年 / 16卷 / 12期
基金：
中国国家自然科学基金; 中国博士后科学基金;
关键词：
fractional neural networks; synchronization; adaptive control; parameters identification; time delays; PROJECTIVE SYNCHRONIZATION; CHAOTIC SYSTEMS;
D O I：
10.3390/e16126286
中图分类号：
O4 [物理学];
学科分类号：
0702 ;
摘要：
In this paper, the parameters identification and synchronization problem of fractional-order neural networks with time delays are investigated. Based on some analytical techniques and an adaptive control method, a simple adaptive synchronization controller and parameter update laws are designed to synchronize two uncertain complex networks with time delays. Besides, the system parameters in the uncertain network can be identified in the process of synchronization. To demonstrate the validity of the proposed method, several illustrative examples are presented.
引用
收藏
页码：6286 / 6299
页数：14
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