Fuzzy rule extraction for controller designs

Ching Chang Wong, Mu Chun Su, Nine Shen Lin

研究成果: 會議貢獻類型會議論文同行評審

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.

原文???core.languages.en_GB???
頁面409-412
頁數4
出版狀態已出版 - 1995
事件Proceedings of the 1995 International IEEE/IAS Conference on Industrial Automation and Control: Emerging Technologies - Taipei, Taiwan
持續時間: 22 5月 199527 5月 1995

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???Proceedings of the 1995 International IEEE/IAS Conference on Industrial Automation and Control: Emerging Technologies
城市Taipei, Taiwan
期間22/05/9527/05/95

指紋

深入研究「Fuzzy rule extraction for controller designs」主題。共同形成了獨特的指紋。

引用此