DocumentCode
348807
Title
Convergence of SOM multiple models identifier
Author
Fatehi, Alireza ; Abe, Kenichi
Author_Institution
Dept. of Electr. Eng., Tohoku Univ., Sendai, Japan
Volume
4
fYear
1999
fDate
1999
Firstpage
1074
Abstract
An algorithm to derive a multiple models set for a plant by the use of the self-organising map (SOM) were introduced by the authors (1999). The statistical properties of the models are investigated in this paper. As a plant, we consider a linear time invariant one. The parameters of the plant at each step are selected randomly with a specified distribution. Based on this distribution, the point distribution of the parameters of the multiple models is derived for this plant and compared with the plant parameters distribution
Keywords
convergence; identification; linear systems; modelling; self-organising feature maps; statistical analysis; linear time invariant plant; multiple models identifier; plant parameters distribution; point distribution; self-organising map; statistical properties; Adaptive estimation; Convergence; Estimation error; Neural networks; Neurons; Parameter estimation; Partitioning algorithms; Statistical distributions; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man, and Cybernetics, 1999. IEEE SMC '99 Conference Proceedings. 1999 IEEE International Conference on
Conference_Location
Tokyo
ISSN
1062-922X
Print_ISBN
0-7803-5731-0
Type
conf
DOI
10.1109/ICSMC.1999.812559
Filename
812559
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