Presentation 2010-07-12
Analysis Using Space Embedded Equation in Moment Vector Space for High-dimensional Nonlinear System
Hideki SATOH,
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Abstract(in English) A space embedded equation (SEE) has been developed for expressing an arbitrary high-dimensional target system as a low-dimensional equation. The target system is analyzed using the moment vector equation (MVE) of the SEE instead of the MVE itself. First, the high-dimensional state space of the target system is discretized into a finite discrete space. Next, an embedding from the discrete space to a low-dimensional discrete space is defined. The SEE of the target system is derived usign the embedding. The dimension of the MVE increases geometrically with the dimension of the target system, so it is very difficult to analyze a high-dimensional system using its MVE. However, this "curse of dimensionality" problem can be avoided by using the MVE of the SEE. Moreover, the MVE is effective for identifying dynamics that cannot be identified using numerical simulation. This approach thus can be used to analyze various properties of high-dimensional nonlinear systems that could not previously be analyzed.
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Keyword(in English) nonlinear / MVE / dimensionality reduction / model reduction / discrete-state abstraction
Paper # NLP2010-33
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Conference Information
Committee NLP
Conference Date 2010/7/5(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) Analysis Using Space Embedded Equation in Moment Vector Space for High-dimensional Nonlinear System
Sub Title (in English)
Keyword(1) nonlinear
Keyword(2) MVE
Keyword(3) dimensionality reduction
Keyword(4) model reduction
Keyword(5) discrete-state abstraction
1st Author's Name Hideki SATOH
1st Author's Affiliation School of Systems Information Science, Future University Hakodate()
Date 2010-07-12
Paper # NLP2010-33
Volume (vol) vol.110
Number (no) 122
Page pp.pp.-
#Pages 6
Date of Issue