Fuzzy rule extraction for controller designs | |
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學年 | 83 |
學期 | 2 |
發表日期 | 1995-05-22 |
作品名稱 | Fuzzy rule extraction for controller designs |
作品名稱(其他語言) | |
著者 | Wong, Ching-chang; Su, Mu-chun; Lin, Nine-shen |
作品所屬單位 | 淡江大學電機工程學系 |
出版者 | Institute of electrical and electronics engineers (IEEE) |
會議名稱 | Industrial Automation and Control: Emerging Technologies, 1995., International IEEE/IAS Conference on |
會議地點 | Taipei, Taiwan |
摘要 | This paper presents an innovative method for extracting fuzzy rules directly from numerical data for controller designs. Conventional approaches to fuzzy systems assume there is no correlation among features and therefore involve dividing the input and output space into grid regions. However, in most cases, it is likely that features are highly correlated. Therefore, we propose to use an aggregation of hyperspheres with different sizes and different positions to define fuzzy rules. The genetic algorithm is used to select the parameters of the proposed fuzzy systems. The inverted pendulum system is utilized to illustrate the efficiency of the proposed method for finding fuzzy control rules. |
關鍵字 | |
語言 | en |
收錄於 | |
會議性質 | 國際 |
校內研討會地點 | |
研討會時間 | 19950522~19950527 |
通訊作者 | |
國別 | TWN |
公開徵稿 | Y |
出版型式 | |
出處 | Industrial Automation and Control: Emerging Technologies, 1995., International IEEE/IAS Conference on, pp.409-412 |
相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/70422 ) |