I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
Reinforcement Learning based Method for Online Parameter Id..:
, In:
2024 IEEE 10th International Power Electronics and Motion Control Conference (IPEMC2024-ECCE Asia)
,
Bui, Minh Xuan
;
W, Fernando
;
Duta, Rukmi
. - p. 2274-2279 , 2024
Link:
https://doi.org/10.1109/IPEMC-ECCEAsia60879.2024.10567..
RT T1 <cTitle>2024 IEEE 10th International Power Electronics and Motion Control Conference (IPEMC2024-ECCE Asia)</cTitle>: T1 <Title>Reinforcement Learning based Method for Online Parameter Identification of the Permanent Magnet Synchronous Machines</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10567595&Exemplar=1&LAN=DE A1 Bui, Minh Xuan A1 W, Fernando A1 Duta, Rukmi A1 Rahman, Muhammed Fazlur YR 2024 K1 Permanent magnet machines K1 Deep learning K1 Training K1 Voltage measurement K1 Accuracy K1 Machine learning algorithms K1 Current measurement K1 PMSM K1 parameter identification K1 machine learning K1 reinforcement learning SP 2274 OP 2279 LK http://dx.doi.org/https://doi.org/10.1109/IPEMC-ECCEAsia60879.2024.10567595 DO https://doi.org/10.1109/IPEMC-ECCEAsia60879.2024.10567595 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
