Threshold Value for Diagnosis of Chaotic Nature of the Data Obtained in Nonlinear Dynamic Analysis
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摘要: 本文利用相位随机化的替代数据方法,给出了一个对动力系统实测时间序列数据的特性进行判定的方法计算结果表明:相位的充分随机化可提高判别的准确程度把此判据用于随机时序与非线性混沌时序所得的判据值有明显的差异.Abstract: In this paper surrogate data method of phase-randomized is proposed to identify the random or chaotic nature of the date obtained in dynamic analysis. The calculating results validate the phase-randomized method to be useful as it can increase the extent of accuracy of the results. And the calculating results show that threshold values of the random timeseries and nonlinear chaotic timeseries have marked difference.
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Key words:
- chaotic timeseries /
- surrogate-data /
- threshold value /
- random timeseries
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[1] Henry D.I.Abarbanel,Prediction in chaotic nonlinear systems methods for timeseries with broad- band Fourier spectra,Phys.B,5(1991),1347-1375. [2] J.Luis Cabrera and F.Javier,Numerical analysis of transient behavior in the discrete random Logistic equation with delay,Phys.Lett.A,197(1995),19-24. [3] Peter Grassberger,Fininte sample corrections to entropy and dimension estimates,Phys.Lett.A,125(1988),369-373. [4] James Theiler,Stephen Eubank,etc.,Testing for nonlinearity in time series the method of surrogate data,Physica D,58(1992),77-94. [5] Dean Prichard,The correlation dimension of differenced data,Phys.Lett.A,191(1994),245-250. [6] James Theiler,Spurious dimension from correlation algorit hms applied to limited time series data,Phys.Rev.A,34(1986),2427-2432. [7] S.Rombouts,R.Keunen,I nvestigation of nonlinear structure in multichannel EEG,Phys.Lett.A,202(1995),352-358. [8] Mat thew B.Kennel and Strven I sabelle,Method to distinguish possible chaos from colored noise and to determine embedding parameters,Phys.Rev.Lett.A,46(1992),3111-3118. [9] P.E.Rapp and A.M.Albano,Filtered noise can mimic low-dimensional chaotic attractors,Phys.Rev.E,47(1993),2289-2297. [10] Dean Prichard Generating surrogate data for time series with several simultaneously measured variables,Phys.Rev.Lett.,191(1994),230-245. [11] P.E.Rapp and A.M.Albano,Phase-randomized surrogates can produce spurious identifications of non-random structure,Phys.Lett.A,192(1994),27-33. [12] M.Casdagli and Alistair Mees,Modeling chaotic motions of a string from experimental data,Phys.Rev.E,54(1992),303-328. [13] P.E.Rapp and A.M.Albano,Predicting chaotic time series,Phys.Rev.E,47(1993),2289-2297. [14] Eric J.Kost elich,Problems in estimating dynamics from data,Phys.D,58(1992),138-152. [15] S.J.Schiff and T.Chang,Information transport in temporal systems,Phys.Rev.Lett.A,67(1992),378-393. [16] James Theiler,Some comments on the correlation dimension of noise,Phys.Lett.A,155(1991),480-493. [17] J.Timonen and H.Koskinen,An improved estimator of dimension and some comments on providing confidence intervals,Geophys.Res.Lett.,20(1993),1527-1536. [18] D.Prichard and C.P.Price,Reconstructing attractors from scalar time series:A comparison of singular system and redundancy criteria,Geophys.Res.,20(1993),2817-2825.
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