Publications SRS
In accordance with the well known and accepted rule in the engineering field, the author sequence of all publications (1989 to present) is related to the FLAE system (first-last-author-emphasis system).
2018 |
Journal- and book contributions |
Ali, M.A.; Söffker, D.: Towards optimal power management of hybrid electric vehicles in realtime: An overview on methods, challenges, and the state-of-the-art solutions. Energies, MDPI, Vol. 11, No. 3, 2018.[PDF][LINK]
Bakhshande, F.; Söffker, D.: Proportional-Integral-Observer-based backstepping approach for position control of a hydraulic differential cylinder system with model uncertainties and disturbances. ASME Journal of Dynamic Systems, Measurement and Control, Vol. 140 (12), 2018, pp. 121006.
Beganovic, N.; Njiri, J. G.; Söffker, D.: Reduction of structural loads in wind turbines based on adapted control strategy concerning online fatigue damage evaluation models. Energies, MDPI, Vol. 11 (12), 2018, pp. 3429.[PDF]
Beganovic, N.; Söffker, D.:: Estimation of Remaining Useful Lifetime of Lithium-ion Battery Based on Acoustic Emission Measurements. Journal of Energy Resources Technology, Vol. 141, No. 4, 2018, pp. 041901.
Lawrynczuk, M.; Söffker, D.: Wiener Structures for Modeling and Nonlinear Predictive Control of Proton Exchange Membrane Fuel Cell. Nonlinear Dynamics, 2018, pp. 1-22.[LINK]
Madadi, E.; Dong, Y.; Söffker, D.: Comparison of Different Model-Free Control Methods Concerning Real-Time Benchmark. ASME Journal of Dynamic Systems, Measurement, and Control, Vol. 140(12), Paper No: DS-17-1204, 2018, pp. 121014.[LINK]
Madadi, E.; Söffker, D.: Model-Free Control of Unknown Nonlinear Systems using an Iterative Learning Concept: Theoretical Development and Experimental Validation. Nonlinear Dynamics, 2018, pp. 1-13.[LINK]
Njiri, J. G.; Beganovic, N.; Do, M. H.; Söffker, D.: Consideration of Lifetime and Fatigue Load in Wind Turbine Control. Renewable Energy, Vol. 131, 2018, pp. 818-828.[PDF][LINK]
Sarkheyli-Hägele, A.; Söffker, D.: Learning and representation of event-discrete situations for individualized situation recognition using fuzzy SOM-based CBR. Engineering Applications of Artificial Intelligence, 72, 2018, pp. 357-367.[LINK]
Spiller, M.; Bakhshande, F.; Söffker, D.: The uncertainty learning filter: a revised smooth variable structure filter. Signal Processing - An International Journal, 2018, pp. 217-226.[LINK]
Wirtz, S.F.; Beganovic, N.; Söffker, D.: Investigation of damage detectability in composites using frequency-based classification of Acoustic Emission measurements. Structural Health Monitoring, 2018, pp. 1-12.[PDF][LINK]
Wirtz, S.F.; Cunha, A.P.A.; Labusch, M.; Marzun, G.; Barcikowski, S.; Söffker, D.: Development of A Low-Cost FPGA-Based Measurement System for Real-Time Processing of Acoustic Emission Data: Proof of Concept Using Control of Pulsed Laser Ablation in Liquids. Sensors, Vol. 18, No. 6, 2018, pp. 1775.[LINK]
Referenzierbare und mehrfach referierte Konferenzbeiträge |
Ali, M.A.; Shivapurkar, R.; Söffker, D.: Development and improvement of a situation-based power management method for multi-source electric vehicles. IEEE-VPPC-2018 Vehicle Power and Propulsion Conference, Chicago, USA, 2018, pp. 1-6.
Ali, M.A.; Söffker, D.: Observer-based power management for multi-source electric vehicles using optimized splitting ratios. ASME-IDETC-2018, Quebec, Canada , 2018, Vol. 3: pp. V003T01A037.
Ameyaw, D. A.; Rothe, S.; Söffker, D.: Adaptation and Implementation of Probability of Detection (POD)-based Fault diagnosis in elastic structures through vibration-based SHM approach. The 9th European Workshop on Structural Health Monitoring (EWSHM), Manchester, 2018.[PDF]
Ameyaw, D. A.; Rothe, S.; Söffker, D.: Probability of Detection (POD)-oriented view to Fault Diagnosis for Reliability assessment of FDI approaches. ASME 2018 International Design Engineering Technical Conferences & Computers(IDETC/CIE). 30th Conference on Mechanical Vibration and Noise, Quebec, Canada, 2018, DETC2018-85554, pp. V008T10A041.
Bakhshande, F.; Söffker, D.: Variable step size Kalman Filter using event handling algorithm for switching systems. Proceedings of the ASME 2018 IDETC/CIE, Quebec, Canada, 2018, Vol. 6, pp. V006T09A013.
Deng, Q.; Söffker, D.: Improved driving behaviors prediction based on Fuzzy Logic-Hidden Markov Model (FL-HMM). 2018 IEEE Intelligent Vehicles Symposium, Changshu, Suzhou, China, 2018, pp. 2003-2008.[PDF][LINK]
Deng, Q.; Wang, J.; Söffker, D.: Prediction of human driver behaviors based on an improved HMM approach. 2018 IEEE Intelligent Vehicles Symposium, Changshu, Suzhou, China, 2018, pp. 2066-2071.[PDF][LINK]
Do, M. H.; Njiri, J. G.; Söffker, D.: Structure load mitigation control for nonlinear wind turbines with unmodeled dynamics. 2018 American Control Conference, Milwaukee, USA, 2018.[LINK]
Jihin, R; Do, M. H.; Söffker, D. : Lifetime prediction of wind turbine blades using degradation model considering variable load profiles. PHME 2018: 4th European Conference of the Prognostics and Health Management Society 2018, Utrecht, Netherland, 2018.[LINK]
Kahar, H.; Madadi, E.; Söffker, D.: Experimental Investigation On The Dynamic Behavior Of Chaotic Jumping In Inverted Flexible Pendulum Under Harmonic Excitation. Proceedings ASME 2018 IDETC/CIE , Quebec, Canada, 2018, Vol. 8, pp. V008T10A019.
Madadi, E.; Söffker, D.: Towards an Adaptive Control Concept for Unknown Nonlinear MIMO Systems. ASME 2018 IDETC/CIE , Quebec, Canada, No. DETC2018-85357, 2018, pp. V006T09A012.
Sheng, W.; Wirtz, S.F.; Söffker, D.: Wavelet Packet Transform-Based Feature Extraction for Acoustic Emission Pattern Recognition. European Workshop On Structural Health Monitoring (EWSHM 2018), UK, Manchester, 2018.[PDF]
Wirtz, S.F.; Cunha, A.P.A.; Beganovic, N.; Söffker, D. : High-speed data acquisition system for continuous Acoustic Emission monitoring and real-time signal processing using FPGA-based platform. European Workshop On Structural Health Monitoring (EWSHM 2018), UK, Manchester, 2018.[PDF]
Wirtz, S.F.; Söffker, D.: Improved signal processing of Acoustic Emission for Structural Health Monitoring using a data-driven approach. European Workshop On Structural Health Monitoring (EWSHM 2018), UK, Manchester, 2018.[PDF]
Weitere Konferenzbeiträge |
Ameyaw, D. A.; Rothe, S.; Söffker, D.: Fault diagnosis using Probability of Detection (POD)-based sensor/information fusion for vibration-based analysis of elastic structures. PAMM-Wiley Online, 2018.[LINK]
Deng, Q.; Söffker, D.: Improved human driving behaviors prediction based on Fuzzy Logic-Hidden Markov Model. 7. Interdisziplinärer Workshop Kognitive Systeme: Mensch, Teams, Systeme und Automaten, Braunschweig, Germany, 2018.
Kahar, H.; Söffker, D.: Analysis of the nonlinear chaotic behavior of an inverted flexible pendulum system affected by impulses. Proceedings in Applied Mathematics and Mechanics, PAMM-Wiley Online, Munich, Germany, Dec 07, 2018, Vol. 18, pp. e201800310.
Kögler, F.; Söffker, D.: Steuerung des Pflanzenwachstums durch Bewässerung. 61. Jahrestagung der Gesellschaft für Pflanzenbauwissenschaften e.V, Kiel, September 25-27, 2018.
Owino, L.; Kögler, F.; Söffker, D.: Moisture measurement and control in germination paper: use of model predictive control to effect required moisture level. 61. Jahrestagung der Gesellschaft für Pflanzenbauwissenschaften e.V, Kiel, September 25-27, 2018, pp. 43-44.[PDF]
Tanshi, F.; Sarkheyli-Hägele, A.; Wang, J.; Söffker, D.: Analysis of Driver Assistance and Supervision Approaches with Respect to Research Goals and Cognitive Efficiency. 7. Interdisziplinärer Workshop Kognitive Systeme: Mensch, Teams, Systeme und Automaten, Braunschweig (DLR), June 21-22, 2018.
Vorträge/Sonstiges |
Söffker, D.: Intention and option: Modeling and Recognition of human driver behavior. KogWiss 2018, Darmstadt, September 3-6, 2018.
Söffker, D.: From data-driven NDT of systems to BIG DATA-based modeling. Invited keynote speech. 10th Int. Symposium NDT in Aerospace, Dresden, Germany, October 24-26, 2018.
Söffker, D.: From model-based and model free control to data driven supervision. Faculty of Electronics and Information Technology, Warsaw University of Technology, Warsaw, Poland, Dec 03, 2018.
Söffker, D.: Urban and sub-urban mobility: about the WHY and aspects of HOW of electromobility - A discussion from a control-engineering point of view. Department of Electronics and Electrical Engineering, Amity University, Noida, India, 37926, 2018.
Söffker, D.: Diagnostics and prognostics of mechanical systems: new approaches for evaluating systems health and lifetime. Invited keynote speech, SRI Conference 2018, Jomo Kenyatta Universtity of Agriculture and Technology, Juja, Kenya, May 2-4, 2018.