BEGIN:VCALENDAR
VERSION:2.0
METHOD:PUBLISH
CALSCALE:GREGORIAN
PRODID:-//WordPress - MECv6.5.6//EN
X-ORIGINAL-URL:https://cmc.deusto.eus/
X-WR-CALNAME:cmc.deusto.eus
X-WR-CALDESC:DeustoCCM - Chair of Computational Mathematics at University of Deusto
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-PUBLISHED-TTL:PT1H
X-MS-OLK-FORCEINSPECTOROPEN:TRUE
BEGIN:VEVENT
CLASS:PUBLIC
UID:MEC-d79199b86238c86baa35733a3a1ce4a5@cmc.deusto.eus
DTSTART:20241030T164000Z
DTEND:20241030T174000Z
DTSTAMP:20251031T222600Z
CREATED:20251031
LAST-MODIFIED:20251031
PRIORITY:5
TRANSP:OPAQUE
SUMMARY:IMC Seminar: Data-driven system analysis: Polynomial optimization meets Koopman
DESCRIPTION:Next Wednesday October 30, 2024 our Senior scientist Prof. Dr. Giovanni Fantuzzi will talk on “Data-driven system analysis: Polynomial optimization meets Koopman” at the IMC Seminar organized by the UC Chile University (Pontificia Universidad Católica de Chile).\nAbstract. When studying complex systems that evolve over time, it is often not enough to just predict the future. We also want to know if equilibrium states are stable, how the system will behave on average over a long time, and how uncertainty impacts the dynamics. Techniques from polynomial optimization can be used to make these predictions when we have explicit models for the dynamics based on polynomial equations. But what if the model isn’t based on polynomial equations or, worse, we don’t know the model at all?\nIn this talk, I will discuss how we can analyze dynamical systems using only data from measurements, with no need for an explicit mathematical model. The main idea is to combine polynomial optimization with a data analysis technique called extended dynamic mode decomposition, which is related to the celebrated Koopman operator. I will introduce these tools, show how they work together, and illustrate their effectiveness with examples related to stability and long-term behavior.\nWHEN\nWed. October 30, 2024 at 17:40H -Berlin time (13:40H -local time)\nWHERE\nOn-site / Online\nOn-site: Auditorium. San Agustin building.\nUC Chile University\nOnline: https://us06web.zoom.us/j/83009816025?pwd=U2aoJHMX2UECBbO1ubxbcZD8rLdaV4.1\nPIN code: G35dyZ\n\n
URL:https://cmc.deusto.eus/events-calendar/imc-seminar-data-driven-system-analysis-polynomial-optimization-meets-koopman/
CATEGORIES:Seminar/Talk,Workshop
ATTACH;FMTTYPE=image/png:https://cmc.deusto.eus/wp-content/uploads/uPChile_gFantuzzi_30oct2024.png
END:VEVENT
END:VCALENDAR