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:Intelligent dynamic sliding-mode neural control using recurrent perturbation fuzzy neural networks
學年104
學期1
出版(發表)日期2016/01/15
作品名稱Intelligent dynamic sliding-mode neural control using recurrent perturbation fuzzy neural networks
作品名稱(其他語言)
著者Hsu, Chun-Fei; Chang, Chun-Wei
單位
出版者
著錄名稱、卷期、頁數Neurocomputing 173(pt.3), pp.734-743
摘要In this paper, a recurrent perturbation fuzzy neural network (RPFNN) is used to online approximate an unknown nonlinear term in the system dynamics. A sine-cosine perturbed membership function is used to handle rule uncertainties when it is hard to exactly determine the grade of the value of fuzzy sets. Unlike type-2 fuzzy sets use an extra type reduction operation to find the output, the proposed RPFNN does not require heavy computational loading. Meanwhile, this paper proposes an intelligent dynamic sliding-mode neural control (IDSNC) system which is composed of a neural controller and an exponential compensator.
關鍵字fuzzy neural network;recurrent neural network;intelligent control;sine-cosine perturbed function
語言英文
ISSN0925-2312;1872-8286
期刊性質國外
收錄於SCI;
產學合作
通訊作者Hsu, Chun-Fei
審稿制度
國別荷蘭
公開徵稿
出版型式,電子版,紙本
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