Time series prediction using Lyapunov exponents in embedding phase space
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
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Pages (from-to) | 1744-1749 |
Journal / Publication | Proceedings of the IEEE International Conference on Systems, Man and Cybernetics |
Volume | 2 |
Publication status | Published - 1998 |
Conference
Title | 1998 IEEE International Conference on Systems, Man, and Cybernetics |
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Place | United States |
City | San Diego, CA |
Period | 11 - 14 October 1998 |
Link(s)
Abstract
In this paper, a multi-dimension chaotic time series prediction method using Lyapunov Exponents in phase space is proposed. The method is based on the fundament characteristic of chaotic behaviour that sensitive dependence upon initial conditions (SDUIC) and Lyapunov Exponents (LEs) are the measure of the SDUIC in chaotic system. The fundamental characteristic of chaotic time series is analyzed, the proposal method is deduced. Numerical experimental results show that the proposed method is simple, practical and effective.
Citation Format(s)
Time series prediction using Lyapunov exponents in embedding phase space. / Zhang, J.; Man, K. F.; Ke, J. Y.
In: Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, Vol. 2, 1998, p. 1744-1749.
In: Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, Vol. 2, 1998, p. 1744-1749.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review