Title :
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
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;
Conference_Titel :
Control, Automation and Systems Engineering (CASE), 2011 International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4577-0859-6
DOI :
10.1109/ICCASE.2011.5997776
