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:20240216T110811
UID:4a3c9308-ccb3-11ee-9701-000e0c3db68b
SUMMARY:EECI International Graduate School on Control 2024 
DESCRIPTION:\nEECI International Graduate School on Control 2024\nModule 09\n"Dissipation Inequalities and Quadratic Constraints for Control, Optimization, and\nLearning"\nWhen: May 13 - May 17, 2024\nWhere: IST seminar room 2.255 - Pfaffenwaldring 9 - Campus Vaihingen   \nSummary of the course \nLyapunov and dissipation inequalities play a central role in the numerical solution of many\ndesign and analysis problems in control theory. Quadratic constraints greatly enhance this theory\nby accommodating parametric and non-parametric uncertainty, including nonlinearities and unmodeled\ndynamics. This course focuses on the application of these methods to solve a variety of dynamical\nsystems problems. First, we address systems with known dynamics and review basic Lyapunov and\ndissipativity theory to obtain stability and performance conditions, as well as reachable set\ncharacterizations for safety.  Second, we introduce the quadratic constraint framework to\ndescribe uncertainties, and combine this framework with Lyapunov/dissipativity theory for robust\nstability, performance, and safety. Third, we introduce computational techniques for these\nanalyses, such as semidefinite programming and sum-of-squares methods. Finally, we showcase the\npower of the methodology with a variety of case studies, including: (i) analysis of optimization\nalgorithms, (ii) design and analysis of feedback systems with neural network controllers, and (iii)\nrobustness analysis in flight control, power systems, and other applications. Numerical examples\nand code will be provided so that students can quickly integrate the methods into their own\nresearch.\nTopics:\n\nDissipation inequalities, including Lyapunov inequalities and bounded real lemma \nQuadratic constraints to describe model uncertainty\nCombination of dissipation inequalities and quadratic constraints for robust stability,\nperformance, and reachability analysis\nEmerging applications in convergence analysis of optimization algorithms, stability and\nperformance analysis of neural network controllers, flight control, power systems, etc.\n\nFor more details, visit \n\neeci-igsc.eu \nDeadline for early registration: \nMarch 15, 2024 \nFor course registration, click \n\nhere\n\n\nContact:\nYaryna Svyryda\nEmail: \nyaryna.svyryda@ist.uni-stuttgart.de \n  
DTSTART;TZID=Europe/Berlin;VALUE=DATE:20240513
DTEND;TZID=Europe/Berlin;VALUE=DATE:20240518
URL;VALUE=URI:https://www.ist.uni-stuttgart.de/events/EECI-International-Graduate-School-on-Control-2024/
END:VEVENT
END:VCALENDAR