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100
學期1
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), pp.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
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
相關連結
Google+ 推薦功能,讓全世界都能看到您的推薦!