A fuzzy inference engine in nonlinear analog mode and its application to a fuzzy logic control.

A fuzzy inference engine in nonlinear analog mode and its application to a fuzzy logic control. Research Abstract Details 

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A fuzzy inference engine in nonlinear analog mode and its application to a fuzzy logic control. Abstract Text:

T Yamakawa,

In this tutorial, the utility of a fuzzy system is demonstrated by providing a broad overview, emphasizing analog mode hardware, along with a discussion of the author's original work. First, the difference between deterministic words and fuzzy words is explained as well as fuzzy logic. The description of the system using mathematical equations, linguistic rules, or parameter distributions (e.g., neural networks) is discussed. Fuzzy inference and defuzzification algorithms are presented, and their hardware implementation is discussed. The fuzzy logic controller was used to stabilize a glass with wine balanced on a finger and a mouse moving around a plate on the tip of an inverted pendulum.

A fuzzy inference engine in nonlinear analog mode and its application to a fuzzy logic control. Publishing Authors By Initials

T Yamakawa,

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A fuzzy inference engine in nonlinear analog mode and its application to a fuzzy logic control. Journal Published:

PUBLICATION TYPE: Journal Article

Journal: IEEE transactions on neural networks / a publicati

VOLUME: 4

Page Numbers: 496-522

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ISSN: 1045-9227

DAY: 12

MONTH: 02

YEAR: 1993

A fuzzy inference engine in nonlinear analog mode and its application to a fuzzy logic control. Information

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LANGUAGE: eng

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Grant and Affiliation Information for A fuzzy inference engine in nonlinear analog mode and its application to a fuzzy logic control.

AFFILIATION: Dept. of Control Eng. and Sci., Kyushu Inst. of Technol., Fukuoka.

Country: United States

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MEDLINETA: IEEE Trans Neural Netw

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