Persistent excitation in adaptive parameter identification of uncertain chaotic system

被引：4

作者：

Zhao Jun-Chan ^{[1
]}

Zhang Qun-Jiao ^{[1
]}

Lu Jun-An ^{[2
]}

机构：

[1] Wuhan Text Univ, Coll Sci, Wuhan 430073, Peoples R China

[2] Wuhan Univ, Sch Math & Stat, Wuhan 430072, Peoples R China

来源：

CHINESE PHYSICS B | 2011年 / 20卷 / 05期

基金：

中国国家自然科学基金;

关键词：

parameter identification; adaptive control; persistent excitation; chaotic system; SYNCHRONIZATION; ATTRACTOR; DESIGN;

D O I：

10.1088/1674-1056/20/5/050507

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

This paper studies the parameter identification problem of chaotic systems. Adaptive identification laws are proposed to estimate the parameters of uncertain chaotic systems. It proves that the asymptotical identification is ensured by a persistently exciting condition. Additionally, the method can be applied to identify the uncertain parameters with any number. Numerical simulations are given to validate the theoretical analysis.

引用

页数：5

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