The IMOCO4.E reference framework for intelligent motion control systems

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26620%2F23%3APU150751" target="_blank" >RIV/00216305:26620/23:PU150751 - isvavai.cz</a>
Alternative codes found
RIV/49777513:23520/23:43969655
Result on the web
<a href="http://dx.doi.org/10.1109/ETFA54631.2023.10275410" target="_blank" >http://dx.doi.org/10.1109/ETFA54631.2023.10275410</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ETFA54631.2023.10275410" target="_blank" >10.1109/ETFA54631.2023.10275410</a>

Result language
angličtina
Original language name
The IMOCO4.E reference framework for intelligent motion control systems
Original language description
Intelligent motion control is integral to modern cyber-physical systems. However, smart integration of intelligent motion control with commercial and industrial systems requires domain expertise, industrial 'know-how' of the production processes, and resilient adaptation for the various engineering phases. The challenge is amplified with the adoption of advanced digital twin approaches, big data and artificial intelligence in the various industrial domains. This paper proposes the IMOCO4.E reference framework for the smart integration of intelligent motion control with commercial platforms (e.g. from SMEs) and industrial systems. The IMOCO4.E reference framework brings together the architecture, data management, artificial intelligence and digital twin viewpoints from the industrial users of the large-scale 'Intelligent Motion Control under Industry4.E' (IMOCO4.E) consortium. The framework envisions a generic platform for designing, developing, and implementing novice and complex motion-controlled industrial systems. Refinements and instantiations of the framework for the IMOCO4.E industrial cases validate the framework's applicability for various industrial domains throughout the engineering phases and under different constraints imposed on the industrial cases.
Czech name
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Czech description
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Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
IEEE International Conference on Emerging Technologies and Factory Automation, ETFA
ISBN
979-8-3503-3991-8
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
1-8
Publisher name
IEEE
Place of publication
Sinaia, Romania
Event location
Sinaia
Event date
Sep 12, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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