Based on Improved Chaotic Oscillator´s Prediction and Simulation for the Monitoring Network Traffic Flow of Coal Gas

Author

Shao, Xiao-qiang

Author_Institution

Sch. of Electr. & Control Eng., Xi´´an Univ. of Sci. & Technol., Xi´´an, China

fYear

2011

fDate

30-31 July 2011

Firstpage

1

Lastpage

4

Abstract

Coal Information Network traffic and chaos characteristics of self-similarity of closely related, proposed first by monitoring the flow of information categories to determine the priority, followed by select the appropriate flow of information as indicators, and verified by Lyapunov exponent of chaos characteristics, the use of improved Duffing oscillator chaotic traffic prediction model constructed by comparing simulated and real data experiments verify its reliability.

Keywords

computerised monitoring; fossil fuels; oscillators; production engineering computing; syngas; vibrations; Duffing oscillator; Lyapunov exponent; chaos characteristics; chaotic oscillator prediction; chaotic oscillator simulation; chaotic traffic prediction model; coal gas; coal information network traffic; information category; network traffic flow monitoring; Chaos; Coal mining; Data models; Equations; Mathematical model; Monitoring; Predictive models;

fLanguage

English

Publisher

ieee

Conference_Titel

Control, Automation and Systems Engineering (CASE), 2011 International Conference on

Conference_Location

Singapore

Print_ISBN

978-1-4577-0859-6

Type

conf

DOI

10.1109/ICCASE.2011.5997776

Filename

5997776