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).
2023 |
Journal- and book contributions |
Ali, A. M.; Moulik, B.; Söffker, D.: Intelligent Real-time Power Management of Multi-Source HEVs based on Driving State Recognition and Offline Optimization. IEEE Transactions on Intelligent Transportation Systems, Vol. 24, No. 1, 2023, pp. 247-257.[PDF][LINK]
David, R.; Söffker, D.: A review on Machine Learning-based models for lane changing behavior prediction and recognition. Frontiers-Future Transportation, Lausanne, Switzerland, Vol. 4, 2023.[PDF][LINK]
He, C.; Söffker, D.: Quantification of human behavior levels by extending Rasmussen's SRK model and the effects of time pressure and training on the levels switching. Heliyon, 9(4), 2023.[PDF][LINK]
He, C.; Söffker, D.: Data driven-based human reliability analysis for individualized performance with different data clustering approaches for dynamical changing situations. Heliyon, 2023, submitted.
Kipchirchir, E.; Do, M. H.; Njiri, J. G.; Söffker, D.: Prognostics-based adaptive control strategy for lifetime control of wind turbines. Wind Energy Science Journal, 2023, pp. 575Ð588.[PDF][LINK]
Kipchirchir, E.; Do, M. H.; Njiri, J. G.; Söffker, D.: Adaptive robust observer-based control for structural load mitigation and speed regulation in commercial wind turbines. IEEE Access, 2023.[LINK]
Pham, H. A.; Söffker, D.: Vibration Reduction of Flexible Structures using Model-Free Adaptive Control Algorithms. IEEE Access, 2023, submitted.
Referenzierbare und mehrfach referierte Konferenzbeiträge |
Bakhshande, F.; Kahar, H.; Söffker, D.: Modeling and control of chaotic jumping of an inverted flexible pendulum system. ASME IDETC , Boston, USA, August 20-23rd, 2023, accepted.
Bakhshande, F.; Spiller, M.; Hering, J.; Söffker, D.: Computationally efficient neural network-based model predictive control for real-time implementation . ASME IDETC , Boston, USA, August 20-23rd, 2023, accepted.
Bejaoui, A.; Gadhavi, P.; Shyshova, O.; Söffker, D.: Integration of human factors-related knowledge into decision support systems applied to assisted and automated operating vehicles using examples for inland vessels . European Conference on Safety and Reliability (ESREL), Southampton, United Kingdom, 2023.[PDF][LINK]
Bejaoui, A..; Söffker, D.: Situated and sequential planning and prediction of human driving behavior as decision making support system. 13th Cognitive and Computational Aspects of Situation Management, Philadelphia, 2023.[LINK]
Bejaoui, A..; Söffker, D.: Situated and event discrete decision making support system applied to remotely operated vehicles. 33rd European Safety and Reliability Conference, Southampton, 2023.[PDF][LINK]
Benrabia, I.; Söffker, D.: Modeling and evaluation of dynamical properties of different energy storage systems using machine learning methods. IEEE Vehicle Power and Propulsion (VPPC), Milan, Italy, October 24-27, 2023, pp. 1-6.[LINK]
Boschmann, W.; Söffker, D.: Quantification of reliable detection range using lidar-based object detection approaches and varying process parameters. IEEE International Conference on Systems, Man, and Cybernetics (SMC), Honolulu, Oahu, HI, USA, 2023, pp. 2838-2843.[LINK]
Boschmann, W.;Bakhshande, F.; Söffker, D.: Complementary object detection: Improving reliability of object candidates using redundant detection approaches. ESREL, Southampton, 2023, 225-232.[PDF][LINK]
David, R.; Söffker, D.: Comparison of Different Hyperparameter Optimization Methods on Driving Behavior Recognition. 13th Cognitive Situation Management (CogSIMA) conference, 2023, accepted.
David, R.; Söffker, D.: A modified Hidden Markov Model (HMM)-based state machine model for driving behavior recognition: Effectiveness of features using different sub-HMMs . 13th Cognitive Situation Management (CogSIMA) conference, 2023, accepted.
David, R.; Söffker, D.: A state machine-based approach for estimating the capacity loss of Lithium-Ion Batteries. 15th Annual Conference of the Prognostics and Health Management Society, 2023.[PDF][LINK]
Diepers, F.; Polke, D.; Ahle, E.; Söffker, D.: Comparison of Different Gaussian Process Models and Applications in Model Predictive Control. 23rd IEEE International Conference on Control, Automation and Systems (ICCAS), Yeosu, South Korea, 2023, pp. 54-59.[LINK]
Donandt, K.; Böttger, K.; Söffker, D.: Improved context-sensitive transformer model for inland vessel trajectory prediction. IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), Bilbao, Spain, Sep, 24-28, 2023, pp. 5903-5908.[LINK]
Donandt, K.; Söffker, D.: Spatial and social situation-aware transformer-based trajectory prediction of autonomous systems. IEEE International Conference on Systems, Man, and Cybernetics (SMC), Honolulu, Oahu, HI, USA, Oct, 1-4, 2023, pp. 4488-4493.[LINK]
Katepalli, B.; Moulik, B.; Ali, A. M.; Söffker, D.: An Eco-Driving Technique for Energy Aware Driving With an Electric Vehicle. International Conference on Computing, Communication, and Intelligent Systems (ICCCIS), Greater Noida, India, Nov, 3-4 , 2023, pp. 493-498.[PDF][LINK]
Kipchirchir, E.; Bakhshande, F.; Söffker, D.: A µ-Synthesis Approach for Robust Control of Wind Turbines. ASME International Design Engineering Technical Conferences & Computers and Information in Engineering Conference 2023 (IDETC-CIE 2023), Boston, Massachusetts, August 20-23, 2023, accepted.
Liebeton, J.; Söffker, D.: Experimental analysis of ultrasonic wave's reflection behavior at material boundaries. Latam-SHM 2023, Cartagena de Indias, Colombia, December 5-8, 2023.[PDF][LINK]
Liebeton, J.; Soon, S.; Söffker, D.: Improving the diagnostic reliability of AE-based failure mode detection and distinction in CFRP. European Safety and Reliability Conference (ESREL), Southampton, United Kingdom, September 4-8, 2023.[PDF][LINK]
Neugebauer, J.; Reckers, L.; Qi, Y.; Zydeck, M.; Theilen, L.; Söffker, D.; el Moctar, O.: Sloshing-Induced Impact Loads and Free Surface Elevation in a Pool in Waves. 33rd International Ocean and Polar Engineering Conference, Ottawa, Canada, 2023.[LINK]
Owino, L., Söffker, D.: Dynamic Water Stress Threshold Determination for Precision Deficit Irrigation Control using Progressive Clustering Approach. IFAC World Congress 2023, Yokohama, Vol. 56(2), 2023, pp: 5287-5292.[PDF][LINK]
Polke, D.; Surjana, A.; Diepers, F.; Ahle, E.; Söffker, D.: Development of a Modular Automation Framework for Data-Driven Modeling and Optimization of Coating Formulations. 27th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) , Sinaia, Romania, 01. Aug, 2023, pp. 1-8.[LINK]
Salighe, S.; Trivedi, N.; Bakhshande, F.; Söffker, D.: Decoupled model-free adaptive control of a nonlinear MIMO system: An experimental comparison of approaches applied to a three-tank system. ASME IDETC , Boston, USA, August 20-23rd, 2023, accepted.
Zydeck, M., Bakhshande, F.; Söffker, D.: Neural network-based structured mpc: A model predictive control approach. ASME IDETC-2023, Boston, 2023, accepted.
Weitere Konferenzbeiträge |
Vorträge/Sonstiges |
Bejaoui, A., Boschmann, W., Donandt, K., Shyshova, O., Thind, N. S., Söffker, D. : Addressing safety and reliability in autonomous inland shipping. Autonomous Inland and Short Sea Shipping Conference (AISS), Duisburg, Germany, Sep, 5-6, 2023.[LINK]
Sagheer, S., Donandt, K., Bernath, A., Ehret, U. : Hybrid Transformer-CNN model with spatial awareness for inland vessel trajectory prediction. Autonomous Inland and Short Sea Shipping Conference (AISS), Duisburg, Germany, Sep, 5-6, 2023.[LINK]
Söffker, D.: Predicting and assistance of human decision behaviors ... and more. KS Workshop (Prof. A. Schulte), University of the Armed Forces, Munich, Neubiberg, April 4th, 2023.
Söffker, D.: Predicting and assistance of human decision behaviors. DLR Institute of Flight Dynamics and Simulation, Braunschweig, Germany, Dec. 20th, 2023.
Zydeck, M.; Söffker, D.: Machine learning-based prediction of the free fluid surface motion within a partially filled LNG container under consideration of vessel-based external roll excitations. AISS, Duisburg, 2023.