Parameter estimation for chaotic system with initial random noises by particle swarm optimization

被引：28

作者：

Gao, Fei ^{[1
,2
]}

Lee, Ju-Jang ^{[2
]}

Li, Zhuoqiu ^{[1
]}

Tong, Hengqing ^{[1
]}

Lue, Xiaohong ^{[1
]}

机构：

[1] Wuhan Univ Technol, Sch Sci, Dept Math, Wuhan 430070, Hubei, Peoples R China

[2] Korea Adv Inst Sci & Technol, Dept Elect Engn & Comp Sci, Taejon 305701, South Korea

来源：

CHAOS SOLITONS & FRACTALS | 2009年 / 42卷 / 02期

基金：

美国国家科学基金会;

关键词：

TIME-DELAY; LAG SYNCHRONIZATION; IDENTIFICATION;

D O I：

10.1016/j.chaos.2009.03.074

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

This paper is concerned with the unknown parameters and time-delays of nonlinear chaotic systems with random initial noises. A scheme based on particle swarm optimization(PSO) is newly introduced to solve the problem via a nonnegative multi-modal nonlinear optimization, which finds a best combination of parameters and time-delays such that an objective function is minimized. The illustrative examples, in chaos systems with time-delays or free, are given to demonstrate the effectiveness of the present method. (C) 2009 Elsevier Ltd. All rights reserved.

引用

页码：1286 / 1291

页数：6

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