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
Episodic Koopman Learning of Nonlinear Robot Dynamics with ..:
, In:
2020 IEEE International Conference on Robotics and Automation (ICRA)
,
Folkestad, Carl
;
Pastor, Daniel
;
Burdick, Joel W.
- p. 9216-9222 , 2020
Link:
https://doi.org/10.1109/ICRA40945.2020.9197510
RT T1
2020 IEEE International Conference on Robotics and Automation (ICRA)
: T1
Episodic Koopman Learning of Nonlinear Robot Dynamics with Application to Fast Multirotor Landing
UL https://suche.suub.uni-bremen.de/peid=ieee-9197510&Exemplar=1&LAN=DE A1 Folkestad, Carl A1 Pastor, Daniel A1 Burdick, Joel W. YR 2020 SN 2577-087X K1 Eigenvalues and eigenfunctions K1 Nonlinear dynamical systems K1 Robots K1 Aerospace electronics K1 Heuristic algorithms K1 Vehicle dynamics SP 9216 OP 9222 LK http://dx.doi.org/https://doi.org/10.1109/ICRA40945.2020.9197510 DO https://doi.org/10.1109/ICRA40945.2020.9197510 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)