print

Efficient fixed-switching modulated finite control set-model predictive control based on artificial neural networks

author
Bakeer, Abualkasim
Alhasheem, Mohammed
Peyghami, Saeed
statement of authorship
Abualkasim Bakeer, Mohammed Alhasheem and Saeed Peyghami
source
Applied Sciences (Switzerland)
publisher
MDPI
journal volume number month
Vol. 12, 6
year of publication
2022
pages
art. 3134
url
https://doi.org/10.3390/app12063134
subject term
tehisnärvivõrgud
mudelid
modulatsioon (elektrotehnika)
algoritmid
keyword
artificial neural networks (ANN)
dwell-time calculations
finite control set-model predictive control (FCS-MPC)
fixed-switching frequency
space vector pulse width modulation (SVPWM)
total harmonic distortion (THD)
ISSN
2076-3417
notes
Bibliogr.: 30 ref
Open Access
Open Access
scientific publication
teaduspublikatsioon
classifier
1.1
Scopus
Journal metrics at Scopus
Article at Scopus
WOS
Journal metrics at WOS
Article at WOS
category (general)
Engineering
Physics and astronomy
Chemical engineering
Computer science
Materials science
category (sub)
Engineering. General engineering
Physics and astronomy. Instrumentation
Chemical engineering. Fluid flow and transfer processes
Computer science. Computer science applications
Materials science. General materials science
Chemical engineering. Process chemistry and technology
kvartiil
Q2
TTÜ department
elektroenergeetika ja mehhatroonika instituut
language
inglise
Uurimisrühm
Power electronics group
Bakeer, A., Alhasheem, M., Peyghami, S. Efficient fixed-switching modulated finite control set-model predictive control based on artificial neural networks // Applied Sciences (Switzerland) (2022) Vol. 12, 6, art. 3134. https://doi.org/10.3390/app12063134