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 communication-based distributed model predictive control ..:
, In:
2019 IEEE 58th Conference on Decision and Control (CDC)
,
Segovia, P.
;
Rajaoarisoa, L.
;
Nejjari, F.
.. - p. 8366-8371 , 2019
Link:
https://doi.org/10.1109/CDC40024.2019.9030085
RT T1
2019 IEEE 58th Conference on Decision and Control (CDC)
: T1
A communication-based distributed model predictive control approach for large-scale systems
UL https://suche.suub.uni-bremen.de/peid=ieee-9030085&Exemplar=1&LAN=DE A1 Segovia, P. A1 Rajaoarisoa, L. A1 Nejjari, F. A1 Duviella, E. A1 Puig, V. YR 2019 SN 2576-2370 K1 Large-scale systems K1 Matrix decomposition K1 Partitioning algorithms K1 Optimization K1 Predictive control K1 Protocols K1 Control design SP 8366 OP 8371 LK http://dx.doi.org/https://doi.org/10.1109/CDC40024.2019.9030085 DO https://doi.org/10.1109/CDC40024.2019.9030085 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)