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

Author

Yamakawa, Takeshi

Author_Institution

Dept. of Control Eng. & Sci., Kyushu Inst. of Technol., Fukuoka, Japan

Volume

4

Issue

3

fYear

1993

fDate

5/1/1993 12:00:00 AM

Firstpage

496

Lastpage

522

Abstract

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

Keywords

fuzzy control; fuzzy logic; inference mechanisms; multivariable control systems; neural chips; nonlinear control systems; analog mode hardware; defuzzification algorithms; deterministic words; fuzzy inference engine; fuzzy logic control; fuzzy words; inverted pendulum; linguistic rules; neural networks; nonlinear analog mode; parameter distributions; Engines; Equations; Fingers; Fuzzy logic; Fuzzy systems; Glass; Hardware; Inference algorithms; Mice; Neural networks;

fLanguage

English

Journal_Title

Neural Networks, IEEE Transactions on

Publisher

ieee

ISSN

1045-9227

Type

jour

DOI

10.1109/72.217192

Filename

217192