Generalization Capability of Radial Basis Function Controller Using Random Search Method with Variable Search Length in Universal Learning Network - Collections

＜departmental bulletin paper＞
Generalization Capability of Radial Basis Function Controller Using Random Search Method with Variable Search Length in Universal Learning Network

Creator	Creator Name Shao, Ning Affiliation Affiliation Name Department of Electrical and Electronic Systems Engineering, Faculty of Information Science and Electrical Engineering, Kyushu University
	Creator Name Hirasawa, Kotaro ヒラサワ, コウタロウ Affiliation Affiliation Name Department of Electrical and Electronic Systems Engineering, Faculty of Information Science and Electrical Engineering, Kyushu University
	Creator Name Ohbayashi, Masanao Affiliation Affiliation Name Department of Electrical and Electronic Systems Engineering, Faculty of Information Science and Electrical Engineering, Kyushu University
	Creator Name Obayashi, Masanao オオバヤシ, マサナオ
	Creator Name Togo, Kazuyuki トウゴウ, カズユキ Affiliation Affiliation Name Department of Energy Conversion Engineering, Interdisciplinary Graduate School of Engineering Sciences, Kyushu University
Language	English
Publisher	九州大学大学院システム情報科学研究院
Publisher	Faculty of Information Science and Electrical Engineering, Kyushu University
Date	1997-03-26
Source Title	Research reports on information science and electrical engineering of Kyushu University
Vol	2
Issue	1
First Page	31
Last Page	37
Publication Type	Version of Record
Access Rights	open access
JaLC DOI	https://doi.org/10.15017/1475361
Related DOI	https://portal.isee.kyushu-u.ac.jp/
Related URI	https://portal.isee.kyushu-u.ac.jp/
Relation	https://portal.isee.kyushu-u.ac.jp/
Abstract	In this paper, generalization capability of a Radial Basis Function controller using RasVal in Universal Learning Network was studied. RasVal is an abbreviation of Random Search with Variable Search L...ength and it can search for a global minimum systematically and effectively in a single framework which is not a combination of different methods. In this paper, a new method to overcome the over-fitting problem in nonlinear control systems is proposed, where the weighting coefficients of control variables in the criterion function are increased in order to obtain the generalization capability of RasVal. From simulation results of a nonlinear crane system, it has been shown that the smaller the scale of the R.B.F. controller is, the smaller the weighting coefficients of the control variables could be.show more

Hide fulltext details.

File	FileType	Size	Views	Description
p031	pdf	1.39 MB	208

Details

PISSN	1342-3819
EISSN	2188-0891
NCID	AN10569524
Record ID	1475361
Peer-Reviewed	Refereed
Subject Terms	Universal learning network
	Random search method
	Nonlinear control
	Neural network
	Radial basis function
	Generalization capability
Created Date	2015.01.09
Modified Date	2023.11.27

Export

Link to this page

Search Other Services

Statistics

＜departmental bulletin paper＞ Generalization Capability of Radial Basis Function Controller Using Random Search Method with Variable Search Length in Universal Learning Network

Hide fulltext details.

Details

People who viewed this item also viewed

＜departmental bulletin paper＞
Generalization Capability of Radial Basis Function Controller Using Random Search Method with Variable Search Length in Universal Learning Network