L. Bathelt, E. Djakow, C. Henke, and A. Trächtler, “Innovative measurement system for saber curvature observation in straightening processes,”10.1016/j.procs.2024.02.024__Procedia Computer Science, vol. 232, pp. 2018–2027, 2024, doi:10.1016/j.procs.2024.02.024 .

L. Bußemas, N. Fittkau, S. Gausemeier, A. Trächtler, and N. Rüddenklau, “LiDAR-Sensormodell basierend auf zeitabhängigem Photon Mapping,” in VDI Mechatroniktagung Dresden 2024, Dresden, 2024, pp. 29–34.

N. Rüddenklau, Hardware-in-the-Loop-Simulation von HD-Scheinwerfer-Steuergeräten zur Entwicklung von Lichtfunktionen in virtuellen Nachtfahrten. .

P. Biemelt, Entwurf und Analyse modellprädiktiver Regelungsansätze zur Steigerung des Immersionsempfindens in interaktiven Fahrsimulationen. .

R.-S. Götte and J. Timmermann, “Estimating States and Model Uncertainties Jointly by a Sparsity Promoting UKF,”https://doi.org/10.1016/j.ifacol.2023.02.015__in 12th IFAC Symposium on Nonlinear Control Systems (NOLCOS 2022), Canberra, Australien, 2023, vol. 56, no. 1, pp. 85–90, doi:https://doi.org/10.1016/j.ifacol.2023.02.015 .

C. Link, K. Malena, S. Gausemeier, and A. Trächtler, “Simulation Environment for Traffic Control Systems Targeting Mixed Autonomy Traffic Scenarios,”10.5220/0011987600003479__presented at the 9th International Conference on Vehicle Technology and Intelligent Transport Systems (VEHITS 2023), Prague, Czech Republic, 2023, doi:10.5220/0011987600003479 .

L. Kersting, B. Arian, J. Rozo Vasquez, A. Trächtler, W. Homberg, and F. Walther, “Echtzeitfähige Modellierung eines innovativen Drückwalzprozesses für die eigenschaftsgeregelte Bauteilfertigung,”10.1515/auto-2022-0106__at - Automatisierungstechnik, vol. 71, no. 1, pp. 68–81, 2023, doi:10.1515/auto-2022-0106 .

L. Kersting, B. Arian, J. Rozo Vasquez, A. Trächtler, W. Homberg, and F. Walther, “Control strategy for angular gradations by means of the flow forming process,”10.21741/9781644902479-220__2023, doi:10.21741/9781644902479-220 .

J. Rozo Vasquez, B. Arian, L. Kersting, F. Walther, W. Homberg, and A. Trächtler, “Detection of phase transformation during plastic deformation of metastable austenitic steel AISI 304L by means of X-ray diffraction pattern analysis,” Metals, 2023.

M. Henkenjohann, U. Nolte, C. Henke, and A. Trächtler, “Novel Cascaded Incremental Nonlinear Dynamic Inversion Controller Approach for a Tiltrotor VTOL,”10.1109/icuas57906.2023.10156317__2023, doi:10.1109/icuas57906.2023.10156317 .

A. Junker, N. Fittkau, J. Timmermann, and A. Trächtler, “Autonomous Golf Putting with Data-Driven and Physics-Based Methods,”10.1109/irc55401.2022.00031__presented at the 2022 Sixth IEEE International Conference on Robotic Computing (IRC), Naples, Italy, 2023, doi:10.1109/irc55401.2022.00031 .

J. Rozo Vasquez, B. Arian, L. Kersting, F. Walther, W. Homberg, and A. Trächtler, “Softsensor model of phase transformation during flow forming of metastable austenitic steel AISI 304L,” presented at the The 14th International Conference on Numerical Methods in Industrial Forming Processes (Numiform 2023), Krakau, 2023.

M. Hesse, J. Timmermann, and A. Trächtler, “Hybrid Optimal Control for Dynamical Systems using Gaussian Process Regression and Unscented Transform<sup>*</sup>,”10.23919/ecc57647.2023.10178368__2023, doi:10.23919/ecc57647.2023.10178368 .

L. Bathelt, M. Scurk, E. Djakow, C. Henke, and A. Trächtler, “Novel Straightening-Machine Design with Integrated Force Measurement for Straightening of High-Strength Flat Wire,”10.3390/s23229091__Sensors, vol. 23, no. 22, 2023, doi:10.3390/s23229091 .

R.-S. Götte, J. N. Klusmann, and J. Timmermann, “Data-driven identification of disturbances using a sliding mode observer,”10.5445/KSP/1000162754__in Proceedings - 33. Workshop Computational Intelligence: Berlin, 23.-24. November 2023, Berlin, Germany, 2023, pp. 113–123, doi:10.5445/KSP/1000162754 .

C. Lenz, C. Henke, and A. Trächtler, “A Methodical Approach to Hybrid Modelling for Contextual Anomaly Detection on Time-Series Data,”10.1109/indin51400.2023.10218108__2023, doi:10.1109/indin51400.2023.10218108 .

L. Bathelt, E. Djakow, C. Henke, and A. Trächtler, “Innovative self-learning disturbance compensation for straightening processes,”10.21741/9781644902479-216__2023, doi:10.21741/9781644902479-216 .

L. Bathelt, E. Djakow, F. Dahms, C. Henke, A. Trächtler, and W. Homberg, “Neuartiger Ansatz zum Richten von zwei- und dreidimensionalen Fehlern an einem Federdraht,” presented at the Ilmenauer Federntag 2023, Ilmenau, 2023.

S. Koppert, M. Bause, C. Henke, and A. Trächtler, “Learning the Automated Setup of Profile Wrapping Lines for New Products from Few Past Setups,”10.1109/indin51400.2023.10217972__2023, doi:10.1109/indin51400.2023.10217972 .

R.-S. Götte and J. Timmermann, “Approximating a Laplacian Prior for Joint State and Model Estimation within an UKF,” in IFAC-PapersOnLine, Yokohama, Japan, 2023, vol. 56, no. 2, pp. 869–874.

S. Stieren, M. Wichtrup, C. Henke, and A. Trächtler, “Concept for a cloud-based holistic energy management of domestic appliances to stabilize the energy supply and the power grid,” presented at the NEIS - Conference on Sustainable Energy Supply and Energy Storage Systems, Hamburg, 2023.

B. Arian, W. Homberg, L. Kersting, A. Trächtler, J. Rozo Vasquez, and F. Walther, “Cryogenic reverse flow forming of AISI 304L,”10.21741/9781644902479-219__2023, doi:10.21741/9781644902479-219 .

W. Homberg et al., “Softsensors: key component of property control in forming technology,”10.1007/s11740-023-01227-1__Production Engineering, 2023, doi:10.1007/s11740-023-01227-1 .

A. Junker, K. E. F. Pape, J. Timmermann, and A. Trächtler, “Adaptive Koopman-Based Models for Holistic Controller and Observer Design,”10.1016/j.ifacol.2023.12.094__IFAC-PapersOnLine, vol. 56, no. 3, pp. 625–630, 2023, doi:10.1016/j.ifacol.2023.12.094 .

M. Ehlert, C. Henke, and A. Trächtler, “Analysis of Differential Algebraic Equation Systems for Connecting Energy Storages of Generally Valid Functional Mock-up Units,”10.5220/0011305700003274__2022, doi:10.5220/0011305700003274 .

S. Mertin, Konzept für ein hierarchisches autonomes Verkehrsmanagement. 2022.

L. Bathelt, F. Bader, E. Djakow, C. Henke, A. Trächtler, and W. Homberg, “Innovative assistance system for setting up a mechatronic straightening machine,”https://doi.org/10.4028/p-vs07w9__presented at the ESAFORM 2022, Braga / Portugal, 2022, doi:https://doi.org/10.4028/p-vs07w9 .

F. Bader, L. Bathelt, E. Djakow, C. Henke, W. Homberg, and A. Trächtler, “An approach for an innovative 3d steel strip straightening machine for curvature and saber compensation,”https://doi.org/10.4028/p-87wvu0__presented at the ESAFORM 2022, Braga / Portugal, 2022, doi:https://doi.org/10.4028/p-87wvu0 .

S. Koppert, C. Henke, A. Trächtler, and S. Möhringer, “Tool Wear Monitoring of a Tree Log Bandsaw using a Deep Convolutional Neural Network on challenging data,”10.1016/j.ifacol.2022.04.252__IFAC-PapersOnLine, vol. 55, no. 2, pp. 554–560, 2022, doi:10.1016/j.ifacol.2022.04.252 .

L. Bathelt, F. Bader, E. Djakow, C. Henke, A. Trächtler, and W. Homberg, “Mechatronische Richtapparate: Intelligente Richttechnik von hochfesten Flachdrähten,” in Fachtagung VDI MECHATRONIK 2022 , Darmstadt, 2022, pp. 19–24.

K. Malena, C. Link, L. Bußemas, S. Gausemeier, and A. Trächtler, “Traffic Estimation and MPC-Based Traffic Light System Control in Realistic Real-Time Traffic Environments,” in Communications in Computer and Information Science, vol. 1612, C. Klein, M. Jarke, M. Helfert, K. Berns, and O. Gusikhin, Eds. Cham: Springer International Publishing, 2022, pp. 232–254.

A. Junker, J. Timmermann, and A. Trächtler, “Data-Driven Models for Control Engineering Applications Using the Koopman Operator,”10.1109/AIRC56195.2022.9836980__in 2022 3rd International Conference on Artificial Intelligence, Robotics and Control (AIRC 2022), Cairo, Egypt, pp. 1–9, doi:10.1109/AIRC56195.2022.9836980 .

R.-S. Götte and J. Timmermann, “Composed Physics- and Data-driven System Identification for Non-autonomous Systems in Control Engineering,”10.1109/AIRC56195.2022.9836982__in 2022 3rd International Conference on Artificial Intelligence, Robotics and Control (AIRC), Cairo, Egypt, 2022, pp. 67–76, doi:10.1109/AIRC56195.2022.9836982 .

S. Schütz, R. Schmidt, C. Henke, and A. Trächtler, “Virtual Commissioning of the Trajectory Tracking Control of a Sensor-Guided, Kinematically Redundant Robotic Welding System on a PLC,”10.1109/syscon53536.2022.9773878__in 2022 IEEE International Systems Conference (SysCon), Montreal, QC, Canada, 2022, pp. 1–8, doi:10.1109/syscon53536.2022.9773878 .

C. Lenz, F. Hanke, C. Henke, and A. Trächtler, “Anomaly Detection in Hot Forming Processes using Hybrid Modeling - Part II,”10.1109/ETFA52439.2022.9921510__presented at the 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA), Stuttgart, Germany , 2022, doi:10.1109/ETFA52439.2022.9921510 .

J. Rozo Vasquez et al., “Coupled microscopic and micromagnetic depth-specific analysis of plastic deformation and phase transformation of metastable austenitic steel AISI 304L by flow forming,”10.1515/pm-2022-0064__Practical Metallography, vol. 59, no. 11, pp. 660–675, 2022, doi:10.1515/pm-2022-0064 .

L. Kersting, B. Arian, J. R. Vasquez, A. Trächtler, W. Homberg, and F. Walther, “Innovative Online Measurement and Modelling Approach for Property-Controlled Flow Forming Processes,”10.4028/p-yp2hj3__Key Engineering Materials, vol. 926, pp. 862–874, 2022, doi:10.4028/p-yp2hj3 .

O. Schön, R.-S. Götte, and J. Timmermann, “Multi-Objective Physics-Guided Recurrent Neural Networks for Identifying Non-Autonomous Dynamical Systems,”https://doi.org/10.1016/j.ifacol.2022.07.282__in 14th IFAC Workshop on Adaptive and Learning Control Systems (ALCOS 2022), Casablanca, Morocco, 2022, vol. 55, no. 12, pp. 19–24, doi:https://doi.org/10.1016/j.ifacol.2022.07.282 .

O. Föllinger, U. Konigorski, B. Lohmann, G. Roppenecker, and A. Trächtler, Regelungstechnik. Einführung in die Methoden und ihre Anwendung, 13th ed. Berlin: VDE-Verlag, 2022.

M. Hesse, M. Hunstig, J. Timmermann, and A. Trächtler, “Batch Constrained Bayesian Optimization for UltrasonicWire Bonding Feed-forward Control Design,” in Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods (ICPRAM), Online, 2022, pp. 383–394.

B. Arian, W. Homberg, L. Kersting, A. Trächtler, and J. Rozo Vasquez, “Produktkennzeichnung durch lokal definierte Einstellung von ferromagnetischen Eigenschaften beim Drückwalzen von metastabilen Stahlwerkstoffen,” in 36. Aachener Stahlkolloquium – Umformtechnik “Ideen Form geben“, 2022, pp. 333–347.

B. Arian et al., “A flow forming process model to predict workpiece properties in AISI 304L,” 2022.

A. Junker, N. Fittkau, J. Timmermann, and A. Trächtler, “Autonomes Putten mittels datengetriebener und physikbasierter Methoden,”10.5445/KSP/1000151141__in Proceedings - 32. Workshop Computational Intelligence: Berlin, 1. - 2. Dezember 2022, Berlin, Germany, 2022, pp. 119–124, doi:10.5445/KSP/1000151141 .

A. Junker, J. Timmermann, and A. Trächtler, “Learning Data-Driven PCHD Models for Control Engineering Applications*,”10.1016/j.ifacol.2022.07.343__IFAC-PapersOnLine, vol. 55, no. 12, pp. 389–394, 2022, doi:10.1016/j.ifacol.2022.07.343 .

K. Malena, C. Link, S. Mertin, S. Gausemeier, and A. Trächtler, “Validation of an Online State Estimation Concept for Microscopic Traffic Simulations%c6,”10.1109/itec51675.2021.9490087__presented at the 2021 IEEE Transportation Electrification Conference &; Expo (ITEC), 2021, doi:10.1109/itec51675.2021.9490087 .

J. Michael et al., “Towards the Concept of a Digital Green Twin for a Sustainable Product Lifecycle,” presented at the 1st International Conference on Water Energy Food and Sustainability (ICoWEFS), 2021.

M. Ehlert et al., “Connecting Energy Storages from Tool Independent, Signal-flow Oriented FMUs,” in Proceedings of the International Conference on SMACD and 16th Conference on PRIME, 2021, pp. 164–167.

V. I. Poddubnyi, A. Trächtler, A. Warkentin, and C. Henke, “Model of a Triangular Caterpillar Drive and Analysis of Vertical Vehicle Dynamics,” Russian Engineering Research, vol. 41, no. 3, pp. 198–201, 2021.

P. Biemelt, S. Böhm, S. Gausemeier, and A. Trächtler, “Subjective Evaluation of Filter- and Optimization-Based Motion Cueing Algorithms for a Hybrid Kinematics Driving Simulator,” in Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics (SMC), Melbourne, Australia, 2021, pp. 1619–1626.

S. Schütz, N. Elsner, C. Henke, and A. Trächtler, “Kraftsensitive Kalibriermethode für Industrieroboter,” in Fachtagung VDI MECHATRONIK 2021, 2021.