Solution of the task of controlling a robotic
News of the Kabardin-Balkar scientific center of RAS, no. 6-2 (2018), pp. 135-140
Voir la notice de l'article provenant de la source Math-Net.Ru
The intelligent control system of a mobile robot, as a set of production rules, is implemented in the form
of a various-valued logical function. In this paper we propose a method for representing various-valued
logic function in a logical neural network. This logical neural network will keep the totality of cause-andeffect relationships identified using various-valued logic functions within a given specified area. These logic operations are implemented by special logic neural cells: conjunctors and disjunctors.
Mots-clés :
mobile robot
Keywords: control system, predicate, the predicate atomicity, various-valued logical function logical neural network, fuzzy logic variable.
Keywords: control system, predicate, the predicate atomicity, various-valued logical function logical neural network, fuzzy logic variable.
@article{IZKAB_2018_6-2_a11,
author = {D. P. Dimitrichenko},
title = {Solution of the task of controlling a robotic},
journal = {News of the Kabardin-Balkar scientific center of RAS},
pages = {135--140},
publisher = {mathdoc},
number = {6-2},
year = {2018},
language = {ru},
url = {http://geodesic.mathdoc.fr/item/IZKAB_2018_6-2_a11/}
}
D. P. Dimitrichenko. Solution of the task of controlling a robotic. News of the Kabardin-Balkar scientific center of RAS, no. 6-2 (2018), pp. 135-140. http://geodesic.mathdoc.fr/item/IZKAB_2018_6-2_a11/