Dirk Soffker (Söffker)
Dirk Soffker (Söffker)
Professor, Dynamics and Control, University of Duisburg-Essen
Bestätigte E-Mail-Adresse bei uni-due.de - Startseite
Zitiert von
Zitiert von
State estimation of dynamical systems with nonlinearities by using proportional-integral observer
D Söffker, TJ Yu, PC Müller
International Journal of Systems Science 26 (9), 1571-1582, 1995
State-of-the-Art in Wind Turbine Control: Trends and Challenges
JG Njiri, D Söffker
Renewable and Sustainable Energy Reviews, 377-393, 2016
Chaotic motions and fault detection in a cracked rotor
PC Müller, J Bajkowski, D Söffker
Nonlinear Dynamics 5 (2), 233-254, 1994
Detection of cracks in turborotors—a new observer based method
J Bajkowski, PC Müller
J. Dyn. Sys., Meas., Control 115 (3), 518-525, 1993
Review and Comparison of Power Management Approaches for Hybrid Vehicles with Focus on Hydraulic Drives
M Karbaschian, D Söffker
Energies 7 (6), 3512-3536, 2014
Wear detection by means of wavelet-based acoustic emission analysis
D Baccar, D Söffker
Mechanical Systems and Signal Processing 60, 198-207, 2015
Interaction of Intelligent and Autonomous Systems - Part I: Qualitative Structuring of Interactions
D Söffker
MCMDS-Mathematical and Computer Modelling of Dynamical Systems 14 (4), 303-318, 2008
Bearing fault diagnosis method based on deep convolutional neural network and random forest ensemble learning
G Xu, M Liu, Z Jiang, D Söffker, W Shen
Sensors 19 (5), 1088, 2019
Towards Optimal Power Management of Hybrid Electric Vehicles in Real-Time: A Review on Methods, Challenges, and State-Of-The-Art Solutions
AM Ali, D Söffker
Energies 11 (476), 2018
Optimization Strategy for PID-Controller Design of AMB Rotor Systems
C Wei, D Söffker
IEEE Transactions on Control Systems Technology 23 (3), 788-803, 2016
Interaction of intelligent and autonomous systems–part II: realization of cognitive technical systems
E Ahle, D Söffker
MCMDS-Mathematical and Computer Modelling of Dynamical Systems 14 (4), 319-339, 2008
Identification and classification of failure modes in laminated composites by using a multivariate statistical analysis of wavelet coefficients
D Baccar, D Söffker
Mechanical Systems and Signal Processing 96, 77-87, 2017
Modeling and control of a PEM fuel cell system: A practical study based on experimental defined component behavior
M Özbek, S Wang, M Marx, D Söffker
Journal of Process Control 23 (3), 282-293, 2013
From human–machine-interaction modeling to new concepts constructing autonomous systems: A phenomenological engineering-oriented approach
D Söffker
Journal of Intelligent and Robotic Systems 32 (2), 191-205, 2001
Structural health management utilization for lifetime prognosis and advanced control strategy deployment of wind turbines: An overview and outlook concerning actual methods …
N Beganovic, D Söffker
Renewable and Sustainable Energy Reviews 64, 68-83, 2016
Systemtheoretische Modellbildung der wissensgeleiteten Mensch-Maschine-Interaktion
D Söffker
logos verlag berlin, 2003
Robust Control of Uncertain Systems With Nonlinearities Using Model-Based Online Robustness Measure
D Söffker, Y Liu, Z Qiu, F Zhang, PC Müller
Proc. ASME 2007 International Design Engineering Technical Conferences …, 2007
A brief review and a first application of time-frequency-based analysis methods for monitoring of strip rolling mills
A Rother, M Jelali, D Söffker
Journal of Process Control 35, 65-79, 2015
Proportional-integral-observer: A brief survey with special attention to the actual methods using acc benchmark
F Bakhshande, D Söffker
IFAC-PapersOnLine 48 (1), 532-537, 2015
Remaining lifetime modeling using State-of-Health estimation
N Beganovic, D Söffker
Mechanical Systems and Signal processing 92, 107-123, 2017
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