A fuzzy inference engine in nonlinear analog mode and its application to a fuzzy logic control
1Dept. of Control Eng. and Sci., Kyushu Inst. of Technol., Fukuoka.
IEEE Transactions on Neural Networks
|January 1, 1993
Summary
This tutorial explores fuzzy systems, explaining fuzzy logic and its hardware implementation. It demonstrates practical applications using a fuzzy logic controller for stabilizing complex systems.
Area of Science:
- Engineering
- Computer Science
Background:
- Introduces fuzzy logic and contrasts deterministic and fuzzy concepts.
- Discusses system descriptions using mathematical equations, linguistic rules, or parameter distributions.
Purpose of the Study:
- To demonstrate the utility of fuzzy systems through a broad overview.
- To emphasize analog mode hardware and original research in fuzzy systems.
Main Methods:
- Explains fuzzy inference and defuzzification algorithms.
- Details the hardware implementation of fuzzy logic controllers.
- Presents system descriptions via mathematical models or linguistic rules.
Main Results:
- Successfully stabilized a wine glass on a finger using a fuzzy logic controller.
- Demonstrated control of a mouse on an inverted pendulum using fuzzy logic.
Conclusions:
- Fuzzy logic controllers offer effective solutions for stabilizing dynamic systems.
- Analog hardware implementations are viable for fuzzy logic systems.
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