Presentation 2005-05-17
Approximation and Analysis of Non-linear Equations Based on Moment Vector Equations
Hideki SATOH,
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Abstract(in English) Moment vector equations (MVEs) are presented in this report to approximate and analyze multi-dimensional non-linear discrete- and continuous-time equations. A non-linear equation is expanded into simultaneous equations of generalized moments, and it is reduced to an MVE of its coefficient matrix and a moment vector. We can use the MVE to analyze statistical properties such as the mean, variance, covariance, and power spectrum of the non-linear equation. Moreover, we can approximately express a combination of non-linear equations by using a combination of MVEs of the non-linear equations. The statistical properties of the Lorenz equations and those of a combination of the logistic equations were evaluated based on the MVE approach, and it is shown that MVEs can be used as an approximation of non-linear equations in statistical measurements.
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Keyword(in English) approximation / linearize / non-linear / moment / power spectrum
Paper # NLP2005-1
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Conference Information
Committee NLP
Conference Date 2005/5/10(1days)
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Registration To Nonlinear Problems (NLP)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Approximation and Analysis of Non-linear Equations Based on Moment Vector Equations
Sub Title (in English)
Keyword(1) approximation
Keyword(2) linearize
Keyword(3) non-linear
Keyword(4) moment
Keyword(5) power spectrum
1st Author's Name Hideki SATOH
1st Author's Affiliation School of Systems Information Science, Future University-Hakodate()
Date 2005-05-17
Paper # NLP2005-1
Volume (vol) vol.105
Number (no) 49
Page pp.pp.-
#Pages 6
Date of Issue