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

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1 Author(s)
Xiao-qiang Shao ; Sch. of Electr. & Control Eng., Xi''an Univ. of Sci. & Technol., Xi''an, China

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.

Published in:

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

Date of Conference:

30-31 July 2011