DocumentCode :
3161756
Title :
Hierarchical structure and multi time-scale in large scale dynamical systems
Author :
Tojo, Koichi ; Tsumura, Koji
Author_Institution :
Dept. of Inf. Phys. & Comput., Univ. of Tokyo, Tokyo
fYear :
2008
fDate :
20-22 Aug. 2008
Firstpage :
3125
Lastpage :
3130
Abstract :
In this paper, we deal with approximation methods of large-scale systems which describe the macroscopic behavior of the whole system and simultaneously the partially microscopic one of the objective subsystems. We propose a hierarchical representation of such large-scale systems by employing the connection graph structure of the elements and multiple time-scale dynamics. The approximation accuracy is rigorously induced and numerical simulation is also demonstrated to show the efficiency.
Keywords :
approximation theory; hierarchical systems; large-scale systems; approximation methods; hierarchical representation; hierarchical structure; large scale dynamical systems; multi time-scale structure; Approximation methods; Computational modeling; Large-scale systems; Microscopy; Nonlinear systems; Numerical simulation; Perturbation methods; Physics; Power engineering computing; Singular value decomposition; graph decomposition; hierarchical representation; large-scale system; multiple time-scale dynamics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
SICE Annual Conference, 2008
Conference_Location :
Tokyo
Print_ISBN :
978-4-907764-30-2
Electronic_ISBN :
978-4-907764-29-6
Type :
conf
DOI :
10.1109/SICE.2008.4655202
Filename :
4655202
Link To Document :
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