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Fuzzy systems and fuzzy expert control: An overview

Published online by Cambridge University Press:  07 July 2009

Spyros G. Tzafestas
Spyros G. Tzafestas
Affiliation:
Intellignet Robotics and Control Unit (IRCU), Department of Electrical and Computer Engineering, National Technical University of Athens, Zografou 15773, Athens, Greece
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Abstract

This paper presents an overview of fuzzy set theory and its application to the analysis and design of fuzzy expert control systems. Starting with a short account of the basic concepts and properties of fuzzy sets and fuzzy reasoning, a few fuzzy rule-based controllers, viz, basic single-input singleoutput fuzzy control, self-organizing fuzzy control, fuzzy PID supervisor, and the fuzzy PID incremental controller, are described in some detail. Then a survey of the theoretical results and applications is provided which gives a good picture of the current status of the field. This survey includes the work on neuro-fuzzy systems, and software systems for the representation and processing of fuzzy information. The paper closes with four application examples which show the type of results that must be expected from fuzzy expert control.

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Research Article
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The Knowledge Engineering Review , Volume 9 , Issue 3 , September 1994 , pp. 229 - 268
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Copyright © Cambridge University Press 1994

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