print

Intelligent control and digital twins for industry 4.0

author
Tepljakov, Aleksei
statement of authorship
Aleksei Tepljakov
source
Sensors
publisher
MDPI
journal volume number month
vol. 23, 8
year of publication
2023
pages
art. 4036
url
https://doi.org/10.3390/s23084036
subject term
tööstuslik pööre
mudelid
juhtimissüsteemid
andmetöötlus
TTÜ subject term
digikaksikud
ISSN
1424-8220
notes
Bibliogr.: 12 ref
Open Access
Open Access
classifier
6.8
Scopus
Journal metrics at Scopus
Article at Scopus
WOS
Journal metrics at WOS
Article at WOS
category (general)
Physics and astronomy
Engineering
Chemistry
Computer science
Biochemistry, genetics and molecular biology
category (sub)
Physics and astronomy. Instrumentation
Engineering. Electrical and electronic engineering
Physics and astronomy. Atomic and molecular physics, and optics
Chemistry. Analytical chemistry
Computer science. Information systems
Biochemistry, genetics and molecular biology. Biochemistry
kvartiil
Q1
TTÜ department
arvutisüsteemide instituut
language
inglise
Tepljakov, A. Intelligent control and digital twins for industry 4.0 // Sensors (2023) vol. 23, 8, art. 4036. https://doi.org/10.3390/s23084036