淡江資訊與圖書館學系專任教師

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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)

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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

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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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