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 |
Appears in Collections: | Статьи |
Files in This Item:
File | Description | Size | Format | |
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Smorodin_Software-Technological.pdf | 144.44 kB | Adobe PDF | View/Open |
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