An adaptive method to parameter identification and synchronization of fractional-order chaotic systems with parameter uncertainty

被引：35
|
作者：
Behinfaraz, Reza [1 ]
Badamchizadeh, Mohammadali [1 ]
Ghiasi, Amir Rikhtegar [1 ]
机构：
[1] Univ Tabriz, Fac Elect & Comp Engn, Tabriz, Iran
来源：
APPLIED MATHEMATICAL MODELLING | 2016年 / 40卷 / 7-8期
关键词：
System identification; Fractional-order chaotic system; Recursive least square; Synchronization; PARTICLE SWARM OPTIMIZATION; ACTIVE CONTROL; ATTRACTOR; EQUATIONS;
D O I：
10.1016/j.apm.2015.11.033
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In this paper, parameters of a fractional-order chaotic system are identified via a robust recursive error prediction method in presence of uncertainty. A generalized ARX structure has obtained by discretization of a continuous fractional-order differential equation defines the identification model. After identifying parameters of system, we use concept of active control method to synchronize two identified fractional-order chaotic systems. The validity of results are demonstrated through an example and also compared with other method. (C) 2015 Elsevier Inc. All rights reserved.
引用
收藏
页码：4468 / 4479
页数：12
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