Modified defuzzifier for control of the inverted pendulum using learning

Jeen Shing Wang; Robert McLaren

Modified defuzzifier for control of the inverted pendulum using learning

Jeen Shing Wang
, Robert McLaren

電機工程學系

研究成果: Paper › 同行評審

3 引文斯高帕斯（Scopus）

摘要

This paper introduces a novel defuzzification procedure to segment the input domains and assign selectable gain factors. With proper factor values in the defuzzifier, a fuzzy logic controller can speed-up the transient response without affecting stability. In addition, an instability due to inappropriate control rules can be accommodated. Also, the proposed defuzzifier can improve the system performance by using a Genetic Algorithm to learn the gain factors.

原文	English
頁面	118-123
頁數	6
出版狀態	Published - 1997
事件	Proceedings of the 1997 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS'97 - Syracuse, NY, USA 持續時間: 1997 9月 21 → 1997 9月 24

Other

Other	Proceedings of the 1997 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS'97
城市	Syracuse, NY, USA
期間	97-09-21 → 97-09-24

All Science Journal Classification (ASJC) codes

一般電腦科學
一般數學

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引用此

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title = "Modified defuzzifier for control of the inverted pendulum using learning",

abstract = "This paper introduces a novel defuzzification procedure to segment the input domains and assign selectable gain factors. With proper factor values in the defuzzifier, a fuzzy logic controller can speed-up the transient response without affecting stability. In addition, an instability due to inappropriate control rules can be accommodated. Also, the proposed defuzzifier can improve the system performance by using a Genetic Algorithm to learn the gain factors.",

author = "Wang, \{Jeen Shing\} and Robert McLaren",

year = "1997",

language = "English",

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note = "Proceedings of the 1997 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS'97 ; Conference date: 21-09-1997 Through 24-09-1997",

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AU - Wang, Jeen Shing

AU - McLaren, Robert

PY - 1997

Y1 - 1997

N2 - This paper introduces a novel defuzzification procedure to segment the input domains and assign selectable gain factors. With proper factor values in the defuzzifier, a fuzzy logic controller can speed-up the transient response without affecting stability. In addition, an instability due to inappropriate control rules can be accommodated. Also, the proposed defuzzifier can improve the system performance by using a Genetic Algorithm to learn the gain factors.

AB - This paper introduces a novel defuzzification procedure to segment the input domains and assign selectable gain factors. With proper factor values in the defuzzifier, a fuzzy logic controller can speed-up the transient response without affecting stability. In addition, an instability due to inappropriate control rules can be accommodated. Also, the proposed defuzzifier can improve the system performance by using a Genetic Algorithm to learn the gain factors.

UR - https://www.scopus.com/pages/publications/0031380408

UR - https://www.scopus.com/pages/publications/0031380408#tab=citedBy

M3 - Paper

AN - SCOPUS:0031380408

SP - 118

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T2 - Proceedings of the 1997 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS'97

Y2 - 21 September 1997 through 24 September 1997

ER -

Modified defuzzifier for control of the inverted pendulum using learning

摘要

Other

All Science Journal Classification (ASJC) codes

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