Study of Improved Algorithm of Gas Concentration Based on the Largest Lyapunov Exponent

doi:10.3969/j.issn.1006-2475.2014.10.027

Abstract

Abstract: Based on chaos theory, the symbol is uncertain when using the largest Lyapunov exponent to predict the gas concentration. In order to solve this problem, the simplified C-C method is used to reconstruct the sequence of gas concentration and the Wolf method is used to calculate the largest Lyapunov exponent. Then uses the weighted local thought to establish the gas concentration predict model. The emulation experiment shows the prediction algorithm is optimal when the weighted number is 5, and more accurate than the traditional Lyapunov exponent prediction.
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Key words: the largest Lyapunov exponent, C-C method, Wolf method, local weighted

CLC Number:

TP391.9

ZHANG Xin-yu1, LI Ru1,2, WANG Jin-yu3. Study of Improved Algorithm of Gas Concentration Based on the Largest Lyapunov Exponent[J]. Computer and Modernization, doi: 10.3969/j.issn.1006-2475.2014.10.027.

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