Solution of the task of controlling a robotic
News of the Kabardin-Balkar scientific center of RAS, no. 6-2 (2018), pp. 135-140.

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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.
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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/

[1] A. V. Timofeev, Adaptivnye robototekhnicheskie kompleksy, Mashinostroenie, L., 1988, 332 pp.

[2] L. A. Lyutikova, Modelirovanie i minimizatsiya baz znanii v terminakh mnogoznachnoi logiki predikatov, Nalchik, 33 pp.

[3] A. B. Barskii, Logicheskie neironnye seti, INTUIT; BINOM, 2007, 352 pp.

[4] D. P. Dimitrichenko, “Mnogokriterialnyi poisk topologicheskikh struktur dlya optimalnogo postroeniya lokalnykh vychislitelnykh setei”, Doklady Adygskoi (Cherkesskoi) mezhdunarodnoi akademii nauk, 14:2 (2012), 68–73

[5] D. P. Dimitrichenko, R. A. Zhilov, “Primenenie neirosetevogo podkhoda k zadacham logicheskoi obrabotki dannykh i postroenie intellektualnykh sistem prinyatiya reshenii”, Modelirovanie, optimizatsiya i informatsionnye tekhnologii, 6:2(20) (2018), 249–261