Optimal Control in a Fuzzy Environment
Yugoslav journal of operations research, Tome 2 (1992) no. 1, p. 33
More realistic formulations of optimal control problems are proposed
in the paper. Fuzzy sets are used to represent the impreciseness and non-reproducibility of the experimental data and subjectivity of the cost function(s)
definition. The problem is transformed via Bellman-Zadeh's approach to the crisp
(nonfuzzy) optimal control problem. Illustrative numerical example are presented.
Keywords:
fuzzy mathematical programming, fuzzy optimal control, fuzzy decision making.
@article{YJOR_1992_2_1_a2,
author = {Dimiter Filev and Plamen Angelov},
title = {Optimal {Control} in a {Fuzzy} {Environment}},
journal = {Yugoslav journal of operations research},
pages = {33 },
year = {1992},
volume = {2},
number = {1},
language = {en},
url = {http://geodesic.mathdoc.fr/item/YJOR_1992_2_1_a2/}
}
Dimiter Filev; Plamen Angelov. Optimal Control in a Fuzzy Environment. Yugoslav journal of operations research, Tome 2 (1992) no. 1, p. 33 . http://geodesic.mathdoc.fr/item/YJOR_1992_2_1_a2/