教師資料查詢 | 類別: 會議論文 | 教師: 林信成 LIN SINN-CHENG (瀏覽個人網頁)

標題:Real-coded genetic algorithm based fuzzy sliding-mode controldesign for precision positioning
學年86
學期2
發表日期1998/05/01
作品名稱Real-coded genetic algorithm based fuzzy sliding-mode controldesign for precision positioning
作品名稱(其他語言)
著者Huang, Pai-yi; Lin, Sinn-cheng; Chen, Yung-yaw
作品所屬單位淡江大學資訊與圖書館學系
出版者Institute of Electrical and Electronics Engineers (IEEE)
會議名稱
會議地點
摘要A fuzzy sliding-mode controller was optimized through real-coded genetic algorithms and successfully implemented on an industrial XY table. The fuzzy sliding-mode controller is special type of fuzzy controller. By using the sliding surface, the fuzzy rule is simpler and the entire rule base is more compact. Thus, more easy to apply self-learning schemes. The real-coded genetic algorithm uses the internal floating-point representation of the computer system. With this advantage, the finite resolution problem of traditional genetic algorithm has been solved. The experimental results show the success of this approach.
關鍵字fuzzy control; genetic algorithms; position control; self-adjusting systems; variable structure systems
語言英文
收錄於
會議性質
校內研討會地點
研討會時間
通訊作者
國別
公開徵稿
出版型式
出處IEEE World Congress on Computational Intelligence 2, pp.1247-1252
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