DEVELOPING AND APPLYING NEURAL NETWORK MODELS IN AUTOMATING EQUIPMENT CONTROL AND TECHNOLOGICAL PROCESSES

Nataliya Sukhanova

doi:doi:10.30987/2658-6436-2022-1-24-32

UDC 004.056.55

DEVELOPING AND APPLYING NEURAL NETWORK MODELS IN AUTOMATING EQUIPMENT CONTROL AND TECHNOLOGICAL PROCESSES

Published в Automation and modeling in design and management · Volume 2022, Issue 1, 2022 · Pages 24–32 · Rubrics: Automation and control of technological processes and production, automated design systems

DOI 10.30987/2658-6436-2022-1-24-32

Received: 17.03.2022 Accepted: 30.03.2022 Published: 30.03.2022

Authors

Nataliya Sukhanova ¹

1 Moscow State University of Technology «STANKIN» (kafedra "Komp'yuternye sistemy upravleniya", Associate Professor)
, Institute of Design-Technological Informatics of RAS (Senior scientific assistant)
Moskva, Moscow, Russian Federation

ABSTRACT

Models of equipment and technological processes based on neural networks with a commutator structure are developed. The article proposes to use neural network models in automated control systems (ACS). Neural network models make it possible to implement automated control systems with a flexible programmable switching structure, quickly connect and disconnect new technological equipment, change the operation order in technological processes, and adapt the system to changing conditions and the external environment. The object of study is ACS. The method is modelling. The aim is to reduce the cost of developing and using automated control systems.

KEYWORDS

automated control system flexible programmable structure artificial neural network switching structure neural network model

Information References

Authors:

1. Moscow State University of Technology «STANKIN» (kafedra "Komp'yuternye sistemy upravleniya", Associate Professor)

Institute of Design-Technological Informatics of RAS (Senior scientific assistant)

Moskva, Moscow, Russian Federation

Type:

Article

Pages:

from 24 to 32

Status:

Published

Subject area:

UDC 004.056.55

Language:

Russian

Keywords:

automated control system, flexible programmable structure, artificial neural network, switching structure, neural network model

References

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DEVELOPING AND APPLYING NEURAL NETWORK MODELS IN AUTOMATING EQUIPMENT CONTROL AND TECHNOLOGICAL PROCESSES

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