@article{22995, author = {{Pai, Arathi and Riepold, Markus and Trächtler, Ansgar}}, journal = {{Mechatronics}}, pages = {{303--320}}, title = {{{Model-based precision position and force control of SMA actuators with a clamping application}}}, volume = {{50}}, year = {{2018}}, } @article{22997, author = {{Olma, Simon and Kohlstedt, Andreas and Traphöner, Phillip and Jäker, Karl-Peter and Trächtler, Ansgar}}, journal = {{Mechatronics}}, pages = {{212--224}}, title = {{{Observer-based nonlinear control strategies for Hardware-in-the-Loop simulations of multiaxial suspension test rigs}}}, volume = {{50}}, year = {{2018}}, } @article{22998, author = {{Holtkötter, Jens and Michael, Jan and Henke, Christian and Trächtler, Ansgar and Bockholt, Marcos and Möhlenkamp, Andreas and Katter, Michael}}, journal = {{Procedia Manufacturing}}, pages = {{235–242}}, title = {{{Rapid-Control-Prototyping as part of Model-Based Development of Heat Pump Dryers}}}, volume = {{24}}, year = {{2018}}, } @inproceedings{23000, author = {{Biemelt, Patrick and Henning, Sven and Rüddenklau, Nico and Gausemeier, Sandra and Trächtler, Ansgar}}, booktitle = {{Proceedings of the Driving Simulation Conference Europe VR (DSC)}}, location = {{Antibes, France}}, pages = {{79--85}}, title = {{{A Model Predictive Motion Cueing Strategy for a 5-Degree-of-Freedom Driving Simulator with Hybrid Kinematics}}}, year = {{2018}}, } @article{22996, abstract = {{The effective control design of a dynamical system traditionally relies on a high level of system understanding, usually expressed in terms of an exact physical model. In contrast to this, reinforcement learning adopts a data-driven approach and constructs an optimal control strategy by interacting with the underlying system. To keep the wear of real-world systems as low as possible, the learning process should be short. In our research, we used the state-of-the-art reinforcement learning method PILCO to design a feedback control strategy for the swing-up of the double pendulum on a cart with remarkably few test iterations at the test bench. PILCO stands for “probabilistic inference for learning control” and requires only few expert knowledge for learning. To achieve the swing-up of a double pendulum on a cart to its upper unstable equilibrium position, we introduce additional state restrictions to PILCO, so that the limited cart distance can be taken into account. Thanks to these measures, we were able to learn the swing up at the real test bench for the first time and in only 27 learning iterations.}}, author = {{Hesse, Michael and Timmermann, Julia and Hüllermeier, Eyke and Trächtler, Ansgar}}, journal = {{Procedia Manufacturing}}, pages = {{15 -- 20}}, title = {{{A Reinforcement Learning Strategy for the Swing-Up of the Double Pendulum on a Cart}}}, volume = {{24}}, year = {{2018}}, } @phdthesis{42064, author = {{Oestersötebier, Felix}}, isbn = {{9783942647977}}, publisher = {{Verlagsschriftenreihe des Heinz Nixdorf Instituts}}, title = {{{Modellbasierter Entwurf intelligenter mechatronischer Systeme mithilfe semantischer Technologien}}}, volume = {{378}}, year = {{2018}}, } @book{22999, author = {{Oestersötebier, Felix}}, publisher = {{Heinz Nixdorf Institut, Universität Paderborn}}, title = {{{Modellbasierter Entwurf intelligenter mechatronischer Systeme mithilfe semantischer Technologien}}}, volume = {{378}}, year = {{2018}}, } @book{22993, author = {{Abdelgawad, Kareem}}, publisher = {{Heinz Nixdorf Institut, Universität Paderborn}}, title = {{{A System-Level Design Framework for Networked Driving Simulation}}}, volume = {{379}}, year = {{2018}}, } @inproceedings{23001, author = {{Henke, Christian and Michael, Jan and Lankeit, Christopher and Trächtler, Ansgar}}, booktitle = {{Tag des System Engineering}}, pages = {{45--54}}, publisher = {{Gesellschaft für Systems Engineering e.V.}}, title = {{{Virtuelle Inbetriebnahme eines Fertigungszentrums}}}, year = {{2017}}, } @inproceedings{23003, author = {{Henning, Sven and Biemelt, Patrick and Abdelgawad, Kareem and Gausemeier, Sandra and Trächtler, Ansgar}}, booktitle = {{VDI/VDE (AUTOREG 2017)}}, publisher = {{VDI-Verlag, Düsseldorf}}, title = {{{Modellbasierte Untersuchung der Zuverlässigkeit algorithmisch bestimmter kritischer Stellen in Straßennetzwerken}}}, year = {{2017}}, } @inproceedings{23004, author = {{Kohlstedt, Andreas and Traphöner, Phillip and Olma, Simon and Jäker, Karl-Peter and Trächtler, Ansgar}}, booktitle = {{2017 IEEE International Conference on Advanced Intelligent Mechatronics (AIM)}}, pages = {{694–699}}, publisher = {{IEEE}}, title = {{{Fast hybrid position / force control of a parallel kinematic load simulator for 6-DOF Hardware-in-the-Loop axle tests}}}, year = {{2017}}, } @inproceedings{23005, author = {{Xu, Ke and Timmermann, Julia and Trächtler, Ansgar}}, booktitle = {{Proc. Advanced Intelligent Mechatronics (AIM)}}, publisher = {{IEEE}}, title = {{{Nonlinear Model Predictive Control with Discrete Mechanics and Optimal Control}}}, year = {{2017}}, } @inproceedings{23006, author = {{Xu, Ke and Timmermann, Julia and Trächtler, Ansgar}}, booktitle = {{Proc. 20th IFAC World Congress}}, title = {{{Swing-up of the moving double pendulum on a cart with simulation based LQR-Trees}}}, year = {{2017}}, } @inproceedings{23007, author = {{Abdelgawad, Kareem and Henning, Sven and Biemelt, Patrick and Gausemeier, Sandra and Trächtler, Ansgar}}, booktitle = {{VDI/VDE (AUTOREG 2017)}}, publisher = {{VDI-Verlag, Düsseldorf}}, title = {{{Networked Driving Simulation for Future Autonomous and Cooperative Vehicle Systems}}}, year = {{2017}}, } @inbook{23008, author = {{Krüger, Martin and Borsig, Michael and Damerow, Ulf-Hendrik and Gräler, Manuel and Trächtler, Ansgar}}, booktitle = {{Math for the Digital Factory}}, pages = {{273--288}}, publisher = {{Springer International Publishing}}, title = {{{Model-Based Design of Self-Correcting Forming Processes}}}, year = {{2017}}, } @inproceedings{23009, author = {{Traphöner, Phillip and Olma, Simon and Kohlstedt, Andreas and Jäker, Karl-Peter and Trächtler, Ansgar}}, booktitle = {{Wissenschaftsforum Intelligente Technische Systeme (WInTeSys) 2017}}, publisher = {{Heinz Nixdorf Institut}}, title = {{{Universelle Entwicklungs- und Prüfumgebung für mechatronische Fahrzeugachsen}}}, year = {{2017}}, } @book{23010, author = {{Gausemeier, Jürgen and Bodden, Eric and Dressler, Falko and Dumitrescu, Roman and Meyer auf der Heide, Friedhelm and Scheytt, Christoph and Trächtler, Ansgar}}, publisher = {{Verlagsschriftenreihe des Heinz Nixdorf Instituts, Paderborn}}, title = {{{Wissenschaftsforum Intelligente Technische Systeme (WInTeSys)}}}, volume = {{369}}, year = {{2017}}, } @inproceedings{23011, author = {{Henke, Christian and Michael, Jan and Lankeit, Christopher and Trächtler, Ansgar}}, booktitle = {{Systems Conference 2017}}, publisher = {{IEEE}}, title = {{{A Holistic Approach for Virtual Commissioning of Intelligent Systems}}}, year = {{2017}}, } @inproceedings{23012, author = {{Michael, Jan and Hellweg, Alina and Henke, Christian and Trächtler, Ansgar}}, booktitle = {{Fachtagung Mechatronik 2017}}, pages = {{18--23}}, publisher = {{VDI Mechatronik}}, title = {{{Dynamische Prozessplanung im Smart Home auf Basis von Mutliagentensystemen}}}, volume = {{12}}, year = {{2017}}, } @inproceedings{23013, author = {{Kohlstedt, Andreas and Olma, Simon and Traphöner, Phillip and Jäker, Karl-Peter and Trächtler, Ansgar}}, booktitle = {{17. Internationales Stuttgarter Symposium, Band 2}}, pages = {{379--392}}, publisher = {{Springer}}, title = {{{Kinematics-based force/position control of a hexapod in a HiL axle test rig}}}, volume = {{2}}, year = {{2017}}, }