- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
In: Proceedings of the American Control Conference, Chicago, USA, 2015
- Classification
-
Elektrotechnik, Elektronik
- Keyword
-
Windenergie ; Lidar ; Vorsteuerung ; Erprobung
- Event
-
Veröffentlichung
- (where)
-
Stuttgart
- (who)
-
Universitätsbibliothek der Universität Stuttgart
- (when)
-
2015
- Contributor
-
Haizmann, Florian
Schlipf, David
Raach, Steffen
Scholbrock, Andrew
Wright, Alan
Slinger, Chris
Medley, John
Harris, Michael
Bossanyi, Ervin
Cheng, Po Wen
- URN
-
urn:nbn:de:bsz:93-opus-102490
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
25.03.2025, 1:44 PM CET
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Haizmann, Florian
- Schlipf, David
- Raach, Steffen
- Scholbrock, Andrew
- Wright, Alan
- Slinger, Chris
- Medley, John
- Harris, Michael
- Bossanyi, Ervin
- Cheng, Po Wen
- Universitätsbibliothek der Universität Stuttgart
Time of origin
- 2015
Other Objects (12)
An adaptive feed-forward controller for active wing bending vibration alleviation on large transport aircraft
Design and evaluation of a lidar-based feedforward controller for the INNWIND.EU 10 MW wind turbine
Feed-Forward Neural Networks for Failure Mechanics Problems
Flatness-based feedforward control of wind turbines using Lidar
The mechanism of synchronization in feed-forward neuronal networks
Beitrag zur projektspezifischen Ausrichtung eines feed-forward- und feed-back-orientierten Risikomanagements für Bauprojekte
Multi-variable feedforward control for floating wind turbines using lidar
Collective pitch feedforward control of floating wind turbines using lidar
Prospects of multivariable feedforward control of wind turbines using lidar
Learning Based Feed-forward Control for Advanced Excavator Assistance Functions
Realistic simulations of extreme load cases with lidar-based feedforward control
Peak Current Control and Feed-Forward Compensation for the DAB Converter
An adaptive feed-forward controller for active wing bending vibration alleviation on large transport aircraft
Design and evaluation of a lidar-based feedforward controller for the INNWIND.EU 10 MW wind turbine
Feed-Forward Neural Networks for Failure Mechanics Problems
Flatness-based feedforward control of wind turbines using Lidar
The mechanism of synchronization in feed-forward neuronal networks
Beitrag zur projektspezifischen Ausrichtung eines feed-forward- und feed-back-orientierten Risikomanagements für Bauprojekte
Multi-variable feedforward control for floating wind turbines using lidar
Collective pitch feedforward control of floating wind turbines using lidar
Prospects of multivariable feedforward control of wind turbines using lidar
Learning Based Feed-forward Control for Advanced Excavator Assistance Functions
Realistic simulations of extreme load cases with lidar-based feedforward control
Peak Current Control and Feed-Forward Compensation for the DAB Converter
An adaptive feed-forward controller for active wing bending vibration alleviation on large transport aircraft
Design and evaluation of a lidar-based feedforward controller for the INNWIND.EU 10 MW wind turbine
Feed-Forward Neural Networks for Failure Mechanics Problems
Flatness-based feedforward control of wind turbines using Lidar
The mechanism of synchronization in feed-forward neuronal networks
Beitrag zur projektspezifischen Ausrichtung eines feed-forward- und feed-back-orientierten Risikomanagements für Bauprojekte
Multi-variable feedforward control for floating wind turbines using lidar
Collective pitch feedforward control of floating wind turbines using lidar
Prospects of multivariable feedforward control of wind turbines using lidar
Learning Based Feed-forward Control for Advanced Excavator Assistance Functions
Realistic simulations of extreme load cases with lidar-based feedforward control