Title: Software-Technological Complex for Adaptive Control of a Production Cycle of Robotic Manufacturing
Authors: Smorodin, V.S.
Prokhorenko, V.A.
Смородин, В.С.
Прокопенко, В.А.
Keywords: technological production process
parameters of operation
probabilistic network graph
state indicators
adaptive control
neural network
LSTM
policy-gradient
reinforcement learning
Issue Date: 2022
Publisher: Белорусский государственный университет информатики и радиоэлектроники
Citation: Smorodin, V. Software-Technological Complex for Adaptive Control of a Production Cycle of Robotic Manufacturing / V. Smorodin, V. Prokhorenko // Открытые семантические технологии проектирования интеллектуальных систем : сборник научных трудов / Белорусский государственный университет информатики и радиоэлектроники ; редкол.: В.В. Голенков (гл. ред.). - Минск : Белорусский государственный университет информатики и радиоэлектроники, 2022. - Вып. 6. - С. 401-404.
Abstract: An approach is being proposed for constructing a new generation intellectual system based on OSTIS technology for decision making during realization of adaptive control procedures for technological cycle of robotic manufacturing based on the means of software-hardware coupling. At the basis of the decision making intellectual system lays the idea of using neural network controllers that solve the task of searching for optimal maintenance strategy for a technological cycle of robotic manufacturing. A formalization of such a system is being proposed based on OSTIS technology implementation.
URI: http://elib.gsu.by/jspui/handle/123456789/54184
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