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
A comparison of compensation methods for random input data ..:
Lixun Huang
;
Hanqing Ding
;
Zhe Zhang
..
http://link.springer.com/article/10.1186/s13662-018-1935-x. , 2019
Link:
https://doi.org/10.1186/s13662-018-1935-x
RT Journal T1
A comparison of compensation methods for random input data dropouts in networked iterative learning control system
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:34748060b90e4433b166af0ba78e23f8&Exemplar=1&LAN=DE A1 Lixun Huang A1 Hanqing Ding A1 Zhe Zhang A1 Qiuwen Zhang A1 Lijun Sun PB SpringerOpen YR 2019 K1 Iterative learning control K1 Networked control systems K1 Data dropout K1 Mathematics K1 QA1-939 JF http://link.springer.com/article/10.1186/s13662-018-1935-x LK http://dx.doi.org/https://doi.org/10.1186/s13662-018-1935-x DO https://doi.org/10.1186/s13662-018-1935-x SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)