PARAMETER ESTIMATION FOR NOISY CHAOTIC SYSTEMS BASED ON AN IMPROVED PARTICLE SWARM OPTIMIZATION ALGORITHM

被引：0
|
作者：
Wei, Jiamin [1 ]
Yu, Yongguang [1 ]
Wang, Sha [1 ]
机构：
[1] Beijing Jiaotong Univ, Dept Math, Beijing 100044, Peoples R China
来源：
JOURNAL OF APPLIED ANALYSIS AND COMPUTATION | 2015年 / 5卷 / 02期
基金：
中国国家自然科学基金;
关键词：
Chaotic system; random noise; time delay; parameter estimation; particle swarm optimization algorithm; IDENTIFICATION; DESIGN;
D O I：
暂无
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
It is of great importance to estimate the unknown parameters and time delays of chaotic systems in control and synchronization. This paper is concerned with the uncertain parameters and time delays of chaotic systems corrupted with random noise. Parameters and time delays of such chaotic systems are estimated based on the improved particle swarm optimization algorithm for its global searching ability. Numerical simulations are given to show satisfactory results.
引用
收藏
页码：232 / 242
页数：11
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