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A composite self tuning strategy for fuzzy control of dynamic systemsThe feature of self learning makes fuzzy logic controllers attractive in control applications. This paper proposes a strategy to tune the fuzzy logic controller on-line by tuning the data base as well as the rule base. The structure of the controller is outlined and preliminary results are presented using simulation studies.
Document ID
19930020341
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Shieh, C.-Y. (Missouri Univ. Columbia, MO, United States)
Nair, Satish S. (Missouri Univ. Columbia, MO, United States)
Date Acquired
September 6, 2013
Publication Date
December 1, 1992
Publication Information
Publication: NASA. Johnson Space Center, North American Fuzzy Logic Processing Society (NAFIPS 1992), Volume 1
Subject Category
Theoretical Mathematics
Accession Number
93N29530
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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IDRelationTitle19930020327Collected WorksNorth American Fuzzy Logic Processing Society (NAFIPS 1992), volume 1
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