Please use this identifier to cite or link to this item: http://lib.kart.edu.ua/handle/123456789/21129
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dc.contributor.authorKargin, Anatolii-
dc.contributor.authorLuchentsov, Yevhen-
dc.date.accessioned2024-03-17T08:42:42Z-
dc.date.available2024-03-17T08:42:42Z-
dc.date.issued2020-
dc.identifier.citationKargin А. Situation Representation Model Implemented by Granule Fuzzy Characteristics in Mobile Autonomous System / A. Kargin, Y. Luchentsov // Computer and Information Systems and Technologies: proceedings of Fourth International Scientific and Technical Conference (April 22-23, 2020). – Kharkiv: NURE, 2020. – P. 50-51.uk_UA
dc.identifier.isbn978-617-7645-96-1-
dc.identifier.urihttp://lib.kart.edu.ua/handle/123456789/21129-
dc.description.abstractCreation of the mobile autonomous control system has specifics. The decision-making and assessment of the large scale situation are based on the global situation model presented in the form of a multilevel structure at different abstraction levels. Three types of abstraction are considered: quantitative, deterministic, and generalized abstraction. The report examines the algorithm for processing data from sensors at the first two levels. Algorithm is programmed in Python and implemented on ESP 8266 microcontroller.uk_UA
dc.language.isoenuk_UA
dc.publisherХарківський національний університет радіоелектронікиuk_UA
dc.subjectmobile autonomous systemsuk_UA
dc.subjectglobal situation modeluk_UA
dc.subjectquantitative and determinative abstractionuk_UA
dc.subjectgranule fuzzy characteristicsuk_UA
dc.titleSituation Representation Model Implemented by Granule Fuzzy Characteristics in Mobile Autonomous Systemuk_UA
dc.typeThesisuk_UA
Appears in Collections:2020

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