GA-based Sugeno-type fuzzy logic controller for the cart-pole system

M. Y. Shieh; C. W. Huang; Tzuu-Hseng S. Li

GA-based Sugeno-type fuzzy logic controller for the cart-pole system

M. Y. Shieh, C. W. Huang, Tzuu-Hseng S. Li

電機工程學系

研究成果: Paper › 同行評審

4 引文斯高帕斯（Scopus）

摘要

In this paper, the genetic algorithms (GAs) are applied to find out the nearly optimal fuzzy rule-base for Sugeno-type fuzzy logic controllers (S-FLC). Basically, S-FLC is a model-based fuzzy controller with a fuzzy model identified by input-output data of an objective system. Unlike the traditional FLC, the rule number of S-FLC is drastically reduced. A GA-based S-FLC is proposed for balancing the inverted pendulum, where GAs are utilized to decide the coefficients of control rules without identifying a fuzzy model. The computer simulations depict the validity of the control method and better performance is obtained by using genetic algorithm.

原文	English
頁面	1028-1033
頁數	6
出版狀態	Published - 1997 12月 1
事件	Proceedings of the 1997 23rd Annual International Conference on Industrial Electronics, Control, and Instrumentation, IECON. Part 2 (of 4) - New Orleans, LA, USA 持續時間: 1997 11月 9 → 1997 11月 14

Other

Other	Proceedings of the 1997 23rd Annual International Conference on Industrial Electronics, Control, and Instrumentation, IECON. Part 2 (of 4)
城市	New Orleans, LA, USA
期間	97-11-09 → 97-11-14

All Science Journal Classification (ASJC) codes

控制與系統工程
電氣與電子工程

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N2 - In this paper, the genetic algorithms (GAs) are applied to find out the nearly optimal fuzzy rule-base for Sugeno-type fuzzy logic controllers (S-FLC). Basically, S-FLC is a model-based fuzzy controller with a fuzzy model identified by input-output data of an objective system. Unlike the traditional FLC, the rule number of S-FLC is drastically reduced. A GA-based S-FLC is proposed for balancing the inverted pendulum, where GAs are utilized to decide the coefficients of control rules without identifying a fuzzy model. The computer simulations depict the validity of the control method and better performance is obtained by using genetic algorithm.

AB - In this paper, the genetic algorithms (GAs) are applied to find out the nearly optimal fuzzy rule-base for Sugeno-type fuzzy logic controllers (S-FLC). Basically, S-FLC is a model-based fuzzy controller with a fuzzy model identified by input-output data of an objective system. Unlike the traditional FLC, the rule number of S-FLC is drastically reduced. A GA-based S-FLC is proposed for balancing the inverted pendulum, where GAs are utilized to decide the coefficients of control rules without identifying a fuzzy model. The computer simulations depict the validity of the control method and better performance is obtained by using genetic algorithm.

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T2 - Proceedings of the 1997 23rd Annual International Conference on Industrial Electronics, Control, and Instrumentation, IECON. Part 2 (of 4)

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ER -

GA-based Sugeno-type fuzzy logic controller for the cart-pole system

摘要

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All Science Journal Classification (ASJC) codes

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