Neuromorphic adaptive control of hybrid processing on CNC machines

The paper considers the possibility of using neuromorphic controllers in adaptive control systems of cyber- physical hybrid processing systems, including 3D printing and subsequent mechanical processing. The application of the Big Data and machine learning technologies for obtaining “digital twins”...

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Main Authors: Kabaldin, Y. G., Shatagin, D. A., Kolchin, P. V., Galkin, A. A.
Format: Conference Proceeding
Language:English
Subjects:
Adaptive control
Automatic control
Hybrid systems
Machine learning
Three dimensional printing
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creator Kabaldin, Y. G.
Shatagin, D. A.
Kolchin, P. V.
Galkin, A. A.
description The paper considers the possibility of using neuromorphic controllers in adaptive control systems of cyber- physical hybrid processing systems, including 3D printing and subsequent mechanical processing. The application of the Big Data and machine learning technologies for obtaining “digital twins” of hybrid processing is shown. A hardware implementation of “digital twins” of a cyber-physical system as part of a neuromorphic controller as part of automatic control of technological processes on CNC machines is proposed.
doi_str_mv 10.1063/1.5138388
format conference_proceeding
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source American Institute of Physics:Jisc Collections:Transitional Journals Agreement 2021-23 (Reading list)
subjects Adaptive control
Automatic control
Hybrid systems
Machine learning
Three dimensional printing
title Neuromorphic adaptive control of hybrid processing on CNC machines
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