Abstract
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.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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.