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  Learning the Rule Base of a Fuzzy Controller by a Genetic Algorithm

Hopf, J., & Klawonn, F. (1994). Learning the Rule Base of a Fuzzy Controller by a Genetic Algorithm. In R. Kruse, R. Palm, & J. Gebhardt (Eds.), Fuzzy Systems in Computer Science (pp. 63-74). Braunschweig, Germany: Friedr. Vieweg & Sohn.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0014-AD8C-1 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0014-AD8D-0
Genre: Book Chapter

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 Creators:
Hopf, Jörn1, Author              
Klawonn, Frank, Author
Affiliations:
1Programming Logics, MPI for Informatics, Max Planck Society, ou_40045              

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 Abstract: For the design of a fuzzy controller it is necessary to choose, besides other parameters, suitable membership functions for the linguistic terms and to determine a rule base.\\ This paper deals with the problem of finding %out the best possible rule a good rule base --- the basis of a fuzzy controller. Consulting experts still is the usual but time--consuming and therefore rather expensive method. Besides, after having designed the controller, one cannot be sure that the rule base %works at its approximative optimum. will lead to near optimal control. This paper shows how to reduce significantly the period of development (and the costs) of fuzzy controllers with the help of genetic algorithms and, above all, how to engender a rule base which is very close to an optimum solution.\\ The example of the inverted pendulum is used to demonstrate how a genetic algori thm can be designed for an automatic construction of a rule base.\\ So this paper does {\em not} deal with the tuning of an existing fuzzy controller but with the genetic (re--)production of rules, even without the need for experts. Thus, a program is engendered, consisting of simple ``{\sl IF \dots THEN \dots}'' instructions.

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Language(s): eng - English
 Dates: 2010-03-121994
 Publication Status: Published in print
 Pages: -
 Publishing info: Braunschweig, Germany : Friedr. Vieweg & Sohn
 Table of Contents: -
 Rev. Method: -
 Identifiers: eDoc: 519479
Other: Local-ID: C1256104005ECAFC-1AEC1C9C0DF054E8C125614400624AEE-hop94
 Degree: -

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Title: Fuzzy Systems in Computer Science
Source Genre: Book
 Creator(s):
Kruse, R., Editor
Palm, R., Editor
Gebhardt, J., Editor
Affiliations:
-
Publ. Info: Braunschweig, Germany : Friedr. Vieweg & Sohn
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 63 - 74 Identifier: ISBN: 3-528-05456-5

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Title: Künstliche Intelligenz
Source Genre: Series
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Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: -