BEGIN:VCALENDAR
VERSION:2.0
PRODID:OpenCms 20.0.18
BEGIN:VTIMEZONE
TZID:Europe/Berlin
X-LIC-LOCATION:Europe/Berlin
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:19700329T020000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:19701025T030000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10
END:STANDARD
END:VTIMEZONE				
BEGIN:VEVENT
DTSTAMP:20240125T162321
UID:ac575691-bb95-11ee-b2c7-000e0c3db68b
SUMMARY:Talk of Prof. Dr. Melanie Zeilinger 
DESCRIPTION:Prof. Dr. Melanie Zeilinger\nDepartment of Mechanical and Process Engineering&nbsp;&nbsp;\n&nbsp;ETH Zurich\nZurich, Switzerland\n\n&nbsp; \nFriday 2024-02-02 2 p.m.\nIST Seminar Room 2.255 - Pfaffenwaldring 9 - Campus Stuttgart-Vaihingen&nbsp; \nAbstract\nModel predictive control has seen widespread success in many applications for its ability to\nexplicitly ensure satisfaction of safety constraints. Its popularity has recently re-gained\ntraction through its potential as a flexible framework for safe learning-based control. While a\nvariety of methods are available to address model uncertainty, the context of learning and complex\nsystems has emphasized the need for improved uncertainty handling to reduce conservativeness while\nmaintaining the strong guarantees of predictive control.\nIn this talk, I will present an overview of our recent research in the domain of soft\nconstrained, stochastic and robust model predictive control. After discussing convergence\nguarantees of soft constrained formulations to address large unexpected disturbances, the focus\nwill be on an explicit treatment of uncertainty in the constrained control problem. I will discuss\nthe challenges of closed-loop guarantees under stochastic uncertainties and introduce the concept\nof indirect feedback stochastic MPC for linear systems, forming the basis for many extensions.\nFinally, focusing on bounded uncertainties, the talk will highlight the benefits of system level\nsynthesis for robust MPC and address the key challenges of nonlinear systems and efficient\ncomputational methods enabling this promising approach in practice.&nbsp; \nBiographical Information\nMelanie Zeilinger is an Associate Professor at the Department of Mechanical and Process\nEngineering at ETH Zurich, where she is leading the Intelligent Control Systems. She received the\ndiploma in Engineering Cybernetics from the University of Stuttgart in Germany in 2006 and the\nPh.D. degree in Electrical Engineering from ETH Zurich in 2011. From 2011 to 2012 she was a\npostdoctoral fellow at the École Polytechnique Fédérale de Lausanne (EPFL), Switzerland. From 2012\nto 2015 she was a Postdoctoral Researcher and Marie Curie fellow in a joint program with the\nUniversity of California at Berkeley, USA, and the Max Planck Institute for Intelligent Systems in\nTuebingen, Germany. From 2018 to 2019 she was a professor at the University of Freiburg, Germany.\nHer awards include the ETH medal for her PhD thesis, an SNF Professorship, the Golden Owl for\nexceptional teaching at ETH Zurich 2022 and the European Control Award 2023. Her research interests\ninclude learning-based control with applications to robotics and human-in-the-loop\ncontrol.&nbsp;
DTSTART;TZID=Europe/Berlin;VALUE=DATE:20240202
URL;VALUE=URI:https://www.ist.uni-stuttgart.de/events/Talk-of-Prof.-Dr.-Melanie-Zeilinger/
END:VEVENT
END:VCALENDAR