淡江資訊與圖書館學系專任教師

:::

標題On GA-based Optimal Fuzzy Control

學年84

學期1

發表日期1995-11-01

作品名稱On GA-based Optimal Fuzzy Control

作品名稱（其他語言）

著者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

會議名稱

會議地點

摘要Two architectures for designing optimal fuzzy control systems were proposed in this paper. In both cases, the membership functions in the fuzzy rulebases were tuned by the genetic algorithms. The objective was to explore a fuzzy controller by minimizing a quadratic cost fkction. In the first architecture, the employed controller was a conventional, fuzzy logic controller which used the system states as input variables. Consequently, the reciprocal of the cost function to be minimized could be directly applied towards evaluating the fitness of the controller. In the second architecture, a $my sliding mode controller was adopted. The combined information of the system states, i.e. the sliding function, formed a single input variable. The problem of minimizing the cost function in this case could be transformed to that of deriving an optimal sliding surface. Then, a faster hitting time and a smaller distance away from the sliding surface a controller had, a lugher fitness it got. Simulations and comparisons were taken on both cases.

關鍵字Fuzzy control;Optimal control;Fuzzy sliding-mode control;Genetic algorithms

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 International Conference on Evolutionary Computing, Perth, Australia

聯絡資訊 Contact Information

維護資訊 Maintenance Information