DocumentCode :
1628113
Title :
Piecewise affine modeling using radial basis functions network
Author :
Harata, Yuji ; Ito, Toshiaki ; Hashimoto, Yoshihiro
Author_Institution :
Graduate Sch. of Informatics, Kyoto Univ., Japan
Volume :
3
fYear :
2004
Firstpage :
1994
Abstract :
In this study, piecewise affine modeling using a radial basis function network (RBFN) is proposed. An evaluation method for model reliability is also proposed. RBFs can be added to improve the expression capability of nonlinearity and parameters and reliability indices can be updated recursively. This model can be available as a black box model for hybrid systems.
Keywords :
nonlinear control systems; radial basis function networks; black box model; hybrid dynamical systems control; mixed logical dynamical systems; nonlinear control; piecewise affine modeling; radial basis function network; reliability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
SICE 2004 Annual Conference
Conference_Location :
Sapporo
Print_ISBN :
4-907764-22-7
Type :
conf
Filename :
1491770
Link To Document :
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