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Fuzzy control is often better than manual control of the very experts whose knowledge it uses - An explanationFuzzy control techniques are analyzed to explain why the fuzzy control that is based on the expert's knowledge is often smoother and more stable than the control performed manually by the same experts. A precise mathematical explanation of this phenomenon is presented. Results obtained make it possible to predict the quality of the fuzzy control.
Document ID
19930066524
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Kreinovich, V. (Texas Univ. El Paso, United States)
Lea, R. (NASA Johnson Space Center Houston, TX, United States)
Fuentes, O. (Texas A & M Univ. College Station, United States)
Lokshin, A. (Perkin-Elmer Corp. Applied Science Div., Pomona, CA, United States)
Date Acquired
August 16, 2013
Publication Date
January 1, 1992
Publication Information
Publisher: Institute of Electrical and Electronics Engineers, Inc.
Subject Category
Cybernetics
Accession Number
93A50521
Funding Number(s)
CONTRACT_GRANT: NSF CDA-90-15006
CONTRACT_GRANT: NAG9-482
Distribution Limits
Public
Copyright
Other

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