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SUMMARY:Talk of Dipl.-Ing. Matthias Lorenzen
DESCRIPTION:Dipl.-Ing. Matthias Lorenzen\nInstitute for Systems Theory and Automatic Control\nUniversity of Stuttgart\nStuttgart, Germany  \nFriday 2018-05-0413:00\n IST-Seminar-Room 2.255 - Pfaffenwaldring 9 - Campus Stuttgart-Vaihingen  \nAbstract  \nMotivated by results in statistical learning theory, decision making based on observed data has\ngained an increasing attention in the control community. If sampling-based methods are used in\npredictive control, interesting questions regarding relevant properties like feasibility of the\nonline optimization, constraint satisfaction, and closed-loop stability arise.\nIn this talk, we present an MPC framework based on stochastic models and discuss the theoretical\nfoundation as well as main differences to nominal or robust MPC. Subsequently, finite sample\napproximations of the online stochastic program are presented which lead to computationally\ntractable algorithms. We discuss the difference between online and offline sampling, analyze the\nresulting closed loop, and prove relevant system theoretic properties. Finally, we briefly touch\nupon experimental results of the developed theory applied to robust guidance and control strategies\nfor automated rendezvous operations between spacecrafts.  \n  \n   \n  \nBiographical Information\n   \n  \nMatthias Lorenzen received his diploma degree (Dipl.-Ing.) in Engineering Cybernetics from the\nUniversity of Stuttgart in 2013 and is currently a doctoral student within the Graduate School of\nSimulation Technology. During his studies he spent one year as a DAAD Fellow at Harvard University\nand four months at Daimler AG for an internship in the research department Environment Perception.\nIn 2013, he joined the Institute for Systems Theory and Automatic Control where he is a research\nand teaching assistant. In 2016, he spent three months as visiting researcher at the University of\nOxford. His doctoral studies are focused on model predictive control under uncertainty.\n\n  
DTSTART;TZID=Europe/Berlin;VALUE=DATE:20180504
URL;VALUE=URI:https://www.ist.uni-stuttgart.de/events/Talk-of-Dipl.-Ing-00002.-Matthias-Lorenzen/
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