TY - JOUR AU - Chantakit, Teanchai AU - Schlickriede, Christian AU - Sain, Basudeb AU - Meyer, Fabian AU - Weiss, Thomas AU - Chattham, Nattaporn AU - Zentgraf, Thomas ID - 17390 IS - 9 JF - Photonics Research SN - 2327-9125 TI - All-dielectric silicon metalens for two-dimensional particle manipulation in optical tweezers VL - 8 ER - TY - CONF AU - Turcanu, Ion AU - Engel, Thomas AU - Sommer, Christoph ID - 17398 SN - 9781728145716 T2 - 2019 IEEE Vehicular Networking Conference (VNC) TI - Fog Seeding Strategies for Information-Centric Heterogeneous Vehicular Networks ER - TY - CONF AU - Frank, Maximilian AU - Gausemeier, Juergen AU - Hennig-Cardinal von Widdern, Nils AU - Koldewey, Christian AU - Menzefricke, Joern Steffen AU - Reinhold, Jannik ID - 17405 T2 - Proceedings of the ISPIM connects TI - A reference process for the Smart Service business: development and practical implications ER - TY - CONF AU - Becker, Julia-Kristin AU - Joachim, Klemens AU - Koldewey, Christian AU - Reinhold, Jannik AU - Dumitrescu, Roman ID - 17406 T2 - Proceedings of the 2020 ISPIM Innovation Conference (Virtual) Event "Innovating in Times of Crisis" TI - Scaling Digital Business Models: A Case from the Automotive Industry ER - TY - CONF AU - Tornede, Alexander AU - Wever, Marcel Dominik AU - Hüllermeier, Eyke ID - 17407 T2 - Discovery Science TI - Extreme Algorithm Selection with Dyadic Feature Representation ER - TY - CONF AU - Hanselle, Jonas Manuel AU - Tornede, Alexander AU - Wever, Marcel Dominik AU - Hüllermeier, Eyke ID - 17408 T2 - KI 2020: Advances in Artificial Intelligence TI - Hybrid Ranking and Regression for Algorithm Selection ER - TY - CHAP AB - Many dynamical systems possess symmetries, e.g. rotational and translational invariances of mechanical systems. These can be beneficially exploited in the design of numerical optimal control methods. We present a model predictive control scheme which is based on a library of precomputed motion primitives. The primitives are equivalence classes w.r.t. the symmetry of the optimal control problems. Trim primitives as relative equilibria w.r.t. this symmetry, play a crucial role in the algorithm. The approach is illustrated using an academic mobile robot example. AU - Flaßkamp, Kathrin AU - Ober-Blöbaum, Sina AU - Peitz, Sebastian ED - Junge, Oliver ED - Schütze, Oliver ED - Froyland, Gary ED - Ober-Blöbaum, Sina ED - Padberg-Gehle, Kathrin ID - 17411 SN - 2198-4182 T2 - Advances in Dynamics, Optimization and Computation TI - Symmetry in Optimal Control: A Multiobjective Model Predictive Control Approach ER - TY - CONF AU - Tornede, Tanja AU - Tornede, Alexander AU - Wever, Marcel Dominik AU - Mohr, Felix AU - Hüllermeier, Eyke ID - 17424 T2 - Proceedings of the ECMLPKDD 2020 TI - AutoML for Predictive Maintenance: One Tool to RUL Them All ER - TY - JOUR AB - The development of renewable energies and smart mobility has profoundly impacted the future of the distribution grid. An increasing bidirectional energy flow stresses the assets of the distribution grid, especially medium voltage switchgear. This calls for improved maintenance strategies to prevent critical failures. Predictive maintenance, a maintenance strategy relying on current condition data of assets, serves as a guideline. Novel sensors covering thermal, mechanical, and partial discharge aspects of switchgear, enable continuous condition monitoring of some of the most critical assets of the distribution grid. Combined with machine learning algorithms, the demands put on the distribution grid by the energy and mobility revolutions can be handled. In this paper, we review the current state-of-the-art of all aspects of condition monitoring for medium voltage switchgear. Furthermore, we present an approach to develop a predictive maintenance system based on novel sensors and machine learning. We show how the existing medium voltage grid infrastructure can adapt these new needs on an economic scale. AU - Hoffmann, Martin W. AU - Wildermuth, Stephan AU - Gitzel, Ralf AU - Boyaci, Aydin AU - Gebhardt, Jörg AU - Kaul, Holger AU - Amihai, Ido AU - Forg, Bodo AU - Suriyah, Michael AU - Leibfried, Thomas AU - Stich, Volker AU - Hicking, Jan AU - Bremer, Martin AU - Kaminski, Lars AU - Beverungen, Daniel AU - zur Heiden, Philipp AU - Tornede, Tanja ID - 17426 JF - Sensors SN - 1424-8220 TI - Integration of Novel Sensors and Machine Learning for Predictive Maintenance in Medium Voltage Switchgear to Enable the Energy and Mobility Revolutions ER - TY - JOUR AU - Wang, D. Q. AU - Reuter, Dirk AU - Wieck, A. D. AU - Hamilton, A. R. AU - Klochan, O. ID - 17433 JF - Applied Physics Letters SN - 0003-6951 TI - Two-dimensional lateral surface superlattices in GaAs heterostructures with independent control of carrier density and modulation potential ER -