Identification of Chaotic Systems with Application to Chaotic Communication

FENG Jiu-Chao; QIU Yu-Hui

首页> 中文期刊> 《中国物理快报：英文版》 >Identification of Chaotic Systems with Application to Chaotic Communication

Identification of Chaotic Systems with Application to Chaotic Communication

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相关主题

摘要

@@ We propose and develop a novel method to identify a chaotic system with time-varying bifurcation parameters via an observation signal which has been contaminated by additive white Gaussian noise. This method is based on an adaptive algorithm, which takes advantage of the good approximation capability of the radial basis function neural network and the ability of the extended Kalman filter for tracking a time-varying dynamical system. It is demonstrated that, provided the bifurcation parameter varies slowly in a time window, a chaotic dynamical system can be tracked and identified continuously, and the time-varying bifurcation parameter can also be retrieved in a sub-window of time via a simple least-square-fit method.

著录项

来源
《中国物理快报：英文版》 |2004年第2期|250-253|共4页
作者
FENG Jiu-Chao; QIU Yu-Hui;
展开▼
作者单位

Faculty of Electronic and Information Engineering, Southwest China Normal University, Chongqing 400715;

Faculty of Electronics and Information, South China University of Technology, Guangzhou 510641;

Department of Computer Science, Southwest China Normal University, Chongqing 400715;

展开▼
原文格式 PDF
正文语种 chi
中图分类
关键词

Identification of Chaotic Systems with Application to Chaotic Communication

摘要

著录项

相关主题

期刊订阅