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).

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Publikationsliste Univ.-Prof. Dr.-Ing. Dirk Söffker (1989-2011)

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.