教師資料查詢 | 類別: 期刊論文 | 教師: 許駿飛 Hsu, Chun-Fei (瀏覽個人網頁)

標題:Adaptive Dynamic RBF Fuzzy Neural Controller Design with a Constructive Learning
學年
學期
出版(發表)日期2011/09/01
作品名稱Adaptive Dynamic RBF Fuzzy Neural Controller Design with a Constructive Learning
作品名稱(其他語言)
著者Hsu, Chun-Fei; Lin, Chih-Min; Li, Ming-Chia
單位淡江大學電機工程學系
出版者台北市中華民國模糊學會
著錄名稱、卷期、頁數International Journal of Fuzzy Systems 13(3), p.175-184
摘要Radial basis function (RBF) network can be viewed
as a fuzzy rule base with specified membership functions and fuzzy inference operations. However, there
is a trade-off between the approximation performance of RBF network and the number of hidden
neurons. To tackle this problem, this paper proposes
a dynamic RBF (DRBF) network with a constructive
learning. This DRBF network not only can create the
new hidden neurons, but also can prune the insignificant hidden neurons. Then, an adaptive dynamic
RBF fuzzy neural control (ADRFNC) system, including a neural controller and a saturation compensator, is developed. The neural controller uses a
DRBF network to on-line mimic an ideal controller
and the saturation compensator is designed to dispel
the approximation error introduced by the neural
controller. Finally, the proposed ADRFNC system is
applied to a chaotic circuit and a DC motor control
system. Simulation and experimental results show the
proposed ADRFNC system can achieve a favorable
tracking performance when the controller’s parameters have been learned and the network structure has
been constructed by the proposed learning algorithm
關鍵字fuzzy system;adaptive control;structuring learning;parameter learning.
語言英文
ISSN1562-2479
期刊性質國外
收錄於SCI;
產學合作
通訊作者Hsu, Chun-Fei; Lin, Chih-Min; Li, Ming-Chia
審稿制度
國別中華民國
公開徵稿
出版型式,紙本
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