Fuzzy Control Based on Fuzzy Relation Equations
Yugoslav journal of operations research, Tome 9 (1999) no. 2, p. 273
The paper discusses fuzzy controllers based on fuzzy relation equations in
the case when fuzzy controller inputs are exact. The Godelian implication and
minimum function as $t$-norm are considered. The fuzzy relation equation with sup-t
composition results in plausible control and the adjoint equation leads to simple fuzzy
control (min-max inference method). The computation of fuzzy relations is not
necessary. The relation between fuzzy plausible control and simple fuzzy control is
discussed. Control algorithms are compared on a simulation example.
@article{YJOR_1999_9_2_a8,
author = {Vladimir Pavlica and Du\v{s}an Petrova\v{c}ki},
title = {Fuzzy {Control} {Based} on {Fuzzy} {Relation} {Equations}},
journal = {Yugoslav journal of operations research},
pages = {273 },
year = {1999},
volume = {9},
number = {2},
zbl = {0964.93062},
language = {en},
url = {http://geodesic.mathdoc.fr/item/YJOR_1999_9_2_a8/}
}
Vladimir Pavlica; Dušan Petrovački. Fuzzy Control Based on Fuzzy Relation Equations. Yugoslav journal of operations research, Tome 9 (1999) no. 2, p. 273 . http://geodesic.mathdoc.fr/item/YJOR_1999_9_2_a8/