Stieren, Stephan, et al. “Concept for a Cloud-Based Holistic Energy Management of Domestic Appliances to Stabilize the Energy Supply and the Power Grid.” NEIS - Conference on Sustainable Energy Supply and Energy Storage Systems, 2023.
LibreCat: /record/49560

Arian, Bahman, et al. “Cryogenic Reverse Flow Forming of AISI 304L.”10.21741/9781644902479-219__Materials Research Proceedings, Materials Research Forum LLC, 2023, doi:10.21741/9781644902479-219.
LibreCat: /record/44314
DOI: 10.21741/9781644902479-219

Homberg, Werner, et al. “Softsensors: Key Component of Property Control in Forming Technology.”10.1007/s11740-023-01227-1__Production Engineering, Springer Science and Business Media LLC, 2023, doi:10.1007/s11740-023-01227-1.
LibreCat: /record/48075
DOI: 10.1007/s11740-023-01227-1

Junker, Annika, et al. “Adaptive Koopman-Based Models for Holistic Controller and Observer Design.”10.1016/j.ifacol.2023.12.094__IFAC-PapersOnLine, vol. 56, no. 3, Elsevier BV, 2023, pp. 625–30, doi:10.1016/j.ifacol.2023.12.094.
LibreCat: /record/50070
DOI: 10.1016/j.ifacol.2023.12.094

Ehlert, Meik, et al. “Analysis of Differential Algebraic Equation Systems for Connecting Energy Storages of Generally Valid Functional Mock-up Units.”10.5220/0011305700003274__Proceedings of the 12th International Conference on Simulation and Modeling Methodologies, Technologies and Applications, SCITEPRESS - Science and Technology Publications, 2022, doi:10.5220/0011305700003274.
LibreCat: /record/33981
DOI: 10.5220/0011305700003274

Bathelt, Lukas, et al. Innovative Assistance System for Setting up a Mechatronic Straightening Machine. 2022, doi:https://doi.org/10.4028/p-vs07w9.
LibreCat: /record/30263
DOI: https://doi.org/10.4028/p-vs07w9

Bader, Fabian, et al. An Approach for an Innovative 3d Steel Strip Straightening Machine for Curvature and Saber Compensation. 2022, doi:https://doi.org/10.4028/p-87wvu0.
LibreCat: /record/30265
DOI: https://doi.org/10.4028/p-87wvu0

Koppert, Steven, et al. “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, Elsevier BV, 2022, pp. 554–60, doi:10.1016/j.ifacol.2022.04.252.
LibreCat: /record/33982
DOI: 10.1016/j.ifacol.2022.04.252

Bathelt, Lukas, et al. “Mechatronische Richtapparate: Intelligente Richttechnik von Hochfesten Flachdrähten.” Fachtagung VDI MECHATRONIK 2022 , 2022, pp. 19–24.
LibreCat: /record/33978

Malena, Kevin, et al. “Traffic Estimation and MPC-Based Traffic Light System Control in Realistic Real-Time Traffic Environments.”10.1007/978-3-031-17098-0_12__Communications in Computer and Information Science, edited by Cornel Klein et al., vol. 1612, Springer International Publishing, 2022, pp. 232–254, doi:10.1007/978-3-031-17098-0_12.
LibreCat: /record/33849
DOI: 10.1007/978-3-031-17098-0_12

Junker, Annika, et al. “Data-Driven Models for Control Engineering Applications Using the Koopman Operator.”10.1109/AIRC56195.2022.9836980__2022 3rd International Conference on Artificial Intelligence, Robotics and Control (AIRC 2022), pp. 1–9, doi:10.1109/AIRC56195.2022.9836980.
LibreCat: /record/26389
DOI: 10.1109/AIRC56195.2022.9836980

Schütz, Stefan, et al. “Virtual Commissioning of the Trajectory Tracking Control of a Sensor-Guided, Kinematically Redundant Robotic Welding System on a PLC.”10.1109/syscon53536.2022.9773878__2022 IEEE International Systems Conference (SysCon), IEEE, 2022, pp. 1–8, doi:10.1109/syscon53536.2022.9773878.
LibreCat: /record/33469
DOI: 10.1109/syscon53536.2022.9773878

Lenz, Cederic, et al. “Anomaly Detection in Hot Forming Processes Using Hybrid Modeling - Part II.”10.1109/ETFA52439.2022.9921510__2022 27th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA ), IEEE, 2022, doi:10.1109/ETFA52439.2022.9921510.
LibreCat: /record/33976
DOI: 10.1109/ETFA52439.2022.9921510

Rozo Vasquez, Julian, 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, Walter de Gruyter GmbH, 2022, pp. 660–75, doi:10.1515/pm-2022-0064.
LibreCat: /record/34000
DOI: 10.1515/pm-2022-0064

Kersting, Lukas, et al. “Innovative Online Measurement and Modelling Approach for Property-Controlled Flow Forming Processes.”10.4028/p-yp2hj3__Key Engineering Materials, vol. 926, Trans Tech Publications, Ltd., 2022, pp. 862–74, doi:10.4028/p-yp2hj3.
LibreCat: /record/33999
DOI: 10.4028/p-yp2hj3

Föllinger, Otto, et al. Regelungstechnik. Einführung in die Methoden und ihre Anwendung. 13th ed., VDE-Verlag, 2022.
LibreCat: /record/47417

Hesse, Michael, et al. “Batch Constrained Bayesian Optimization for UltrasonicWire Bonding Feed-Forward Control Design.” Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods (ICPRAM), 2022, pp. 383–94.
LibreCat: /record/29803

Arian, Bahman, et al. “Produktkennzeichnung Durch Lokal Definierte Einstellung von Ferromagnetischen Eigenschaften Beim Drückwalzen von Metastabilen Stahlwerkstoffen.” 36. Aachener Stahlkolloquium – Umformtechnik “Ideen Form Geben“, 2022, pp. 333–47.
LibreCat: /record/34001

Arian, Bahman, et al. “A Flow Forming Process Model to Predict Workpiece Properties in AISI 304L.” 19th Int. Conference on Metal Forming 2022, 2022.
LibreCat: /record/34003

Junker, Annika, et al. “Autonomes Putten Mittels Datengetriebener Und Physikbasierter Methoden.”10.5445/KSP/1000151141__Proceedings - 32. Workshop Computational Intelligence: Berlin, 1. - 2. Dezember 2022, 2022, pp. 119–24, doi:10.5445/KSP/1000151141.
LibreCat: /record/34011
DOI: 10.5445/KSP/1000151141