DocumentCode
1743405
Title
Efficient representation of nonlinear functions by fuzzy controller design algorithms
Author
Saade, Jean J. ; Al-Khatib, M.
Author_Institution
Dept. of Electr. & Comput. Eng., American Univ. of Beirut, Lebanon
Volume
1
fYear
2000
fDate
2000
Firstpage
554
Abstract
This study investigates the efficient representation of nonlinear functions by data-driven algorithms for the design of fuzzy controllers. This is done by defining practical efficiency factors. Emphasis is placed on the comparison of the results given by a new algorithm for the design of Mamdani-type controllers with those obtained by neurofuzzy and other approaches
Keywords
control system CAD; fuzzy control; nonlinear control systems; Mamdani-type controllers; data-driven algorithms; efficiency factors; fuzzy controller design algorithms; neurofuzzy systems; nonlinear functions; Algorithm design and analysis; Automatic control; Data mining; Fuzzy control; Fuzzy systems; Humans; Noise shaping; Performance evaluation; Process control; System testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronics, Circuits and Systems, 2000. ICECS 2000. The 7th IEEE International Conference on
Conference_Location
Jounieh
Print_ISBN
0-7803-6542-9
Type
conf
DOI
10.1109/ICECS.2000.911600
Filename
911600
Link To Document