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The simplification of fuzzy control algorithm and hardware implementationThe conventional interface composition algorithm of a fuzzy controller is very time and memory consuming. As a result, it is difficult to do real time fuzzy inference, and most fuzzy controllers are realized by look-up tables. Here, researchers derive a simplified algorithm using the defuzzification mean of maximum. This algorithm takes shorter computation time and needs less memory usage, thus making it possible to compute the fuzzy inference on real time and easy to tune the control rules on line. A hardware implementation based on a simplified fuzzy inference algorithm is described.
Document ID
19910012468
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Wu, Z. Q.
(National Univ. of Singapore)
Wang, P. Z.
(National Univ. of Singapore)
Teh, H. H.
(National Univ. of Singapore)
Date Acquired
September 6, 2013
Publication Date
February 1, 1991
Publication Information
Publication: NASA, Lyndon B. Johnson Space Center, Proceedings of the 2nd Joint Technology Workshop on Neural Networks and Fuzzy Logic, Volume 1
Subject Category
Cybernetics
Accession Number
91N21781
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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