DC Field | Value | Language |
dc.contributor.author | Paliukh, B. V. | - |
dc.contributor.author | Egereva, I. A. | - |
dc.date.accessioned | 2020-03-10T13:01:54Z | - |
dc.date.available | 2020-03-10T13:01:54Z | - |
dc.date.issued | 2020 | - |
dc.identifier.citation | Paliukh, B. V. The mechanism of optimal control of the evolution of continuous technological systems / Boris V. Paliukh, Irina A. Egereva // Открытые семантические технологии проектирования интеллектуальных систем = Open Semantic Technologies for Intelligent Systems (OSTIS-2020) : сборник научных трудов / Белорусский государственный университет информатики и радиоэлектроники ; редкол.: В. В. Голенков (гл. ред.) [и др.]. – Минск, 2020. – Вып. 4. – С. 153–156. | ru_RU |
dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/38675 | - |
dc.description.abstract | Due to competition in the conditions of continuous development of technology, enterprises have to constantly optimize production processes. There is a problem of choosing the most suitable solution to a particular situation managing the evolution of a technological system because the activities of enterprises must take into account a large number of external factors, take into account various kinds of limitations (resource, material and others). This paper presents the mechanisms of optimal control of continuous technological systems based on the application of the theory of active systems, the theory of fuzzy systems, artificial intelligence methodologies, multi-agent systems. A method is proposed for forming a minimum set of solutions to problems with given constraints by combining a number of control mechanisms for the functioning of the technological system. | ru_RU |
dc.language.iso | en | ru_RU |
dc.publisher | БГУИР | ru_RU |
dc.subject | материалы конференций | ru_RU |
dc.subject | optimal control | ru_RU |
dc.subject | evolution of continuous technological systems | ru_RU |
dc.subject | semantic systems | ru_RU |
dc.subject | theory of fuzzy systems | ru_RU |
dc.subject | artificial intelligence methodologies | ru_RU |
dc.subject | multi-agent systems | ru_RU |
dc.title | The mechanism of optimal control of the evolution of continuous technological systems | ru_RU |
dc.title.alternative | Механизм оптимального управления эволюцией непрерывных технологических систем | ru_RU |
dc.type | Статья | ru_RU |
local.description.annotation | В данной работе приводятся механизмы оптимального управления непрерывными технологическими системами на основе применения теории активных систем, теории нечетких системы, методологий искусственного интеллекта, многоагентных систем. Предлагается способ формирования
минимального множества вариантов решений задач с заданными ограничениями путем объединения ряда механизмов управления функционированием технологической системы. | - |
Appears in Collections: | OSTIS-2020
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