Title :
A general purpose fuzzy controller for monotone functions
Author :
Wu, C.J. ; Sung, A.H.
Author_Institution :
Dept. of Comput. Sci., New Mexico Tech., Socorro, NM, USA
fDate :
10/1/1996 12:00:00 AM
Abstract :
In this work, a general purpose fuzzy controller is proposed to handle the class of monotonic functions. A set of rules on the selection of fuzzy subsets and decision tables based on the mean-of-inversion (MOI) defuzzification method for guaranteed convergence and accuracy is given and proved. Unlike the mean-of-maximum (MOM) and the center-of-area (COA) methods, the MOI method defuzzifies each fired rule separately instead of superimposing fired rules before defuzzification
Keywords :
controllers; decision tables; fuzzy control; decision tables; fuzzy subsets; general purpose fuzzy controller; mean-of-inversion defuzzification method; monotone functions; Analytical models; Computer science; Control systems; Convergence; Fuzzy control; Fuzzy logic; Fuzzy sets; Fuzzy systems; Message-oriented middleware; Stability analysis;
Journal_Title :
Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on
DOI :
10.1109/3477.537323