BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//MICDE - ECPv5.1.5//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:MICDE
X-ORIGINAL-URL:https://micde.umich.edu
X-WR-CALDESC:Events for MICDE
BEGIN:VTIMEZONE
TZID:America/Detroit
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20180311T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20181104T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20181023T113000
DTEND;TZID=America/Detroit:20181023T130000
DTSTAMP:20211020T175018
CREATED:20181017T171208Z
LAST-MODIFIED:20181018T171138Z
UID:22216-1540294200-1540299600@micde.umich.edu
SUMMARY:Complex Systems Seminar: Giovanni Fantuzzi\, Aeronautics\, Imperial College London
DESCRIPTION:Bio: Giovanni Fantuzzi is an EPSRC Doctoral Prize Fellow in the Department of Aeronautics\, Imperial College London\, from which he received an MEng degree in 2014 and a PhD in 2018. During his PhD he developed optimization-based methods and software for studying stability and time-averaged properties of dynamical systems\, with applications to ﬂuid ﬂows. In 2015 he was awarded a Geophysical Fluid Dynamics Fellowship from Woods Hole Oceanographic Institution and was subsequently a Research Assistant at the University of Oxford\, where he worked on fast algorithms for structured semideﬁnite programmes and sum-of-squares optimization. His current research spans ﬂuid dynamics and convex optimization\, and he is especially interested in scalable convex approaches to hydrodynamic analysis. \nBeyond numerical integration: studying nonlinear dynamics with polynomial optimization\nSystems characterized by complex nonlinear dynamics lie at the heart of 21st century technology. Examples are turbulent flows in the transport and aviation industries\, smart energy networks\, and models of cell dynamics used in synthetic biology. Quantitative analysis of such systems using direct numerical simulations sometimes requires prohibitively large computational resources even when one is interested only in some average properties\, such as mean power consumption\, because all time and length scales across which the system evolves must be resolved. In addition\, while numerical simulations offer detailed information starting from a specific initial state\, they cannot provide safety-critical performance or stability guarantees that hold for all possible initial states. In this talk\, I will describe an alternative approach to studying nonlinear systems with polynomial dynamics\, which combines ideas from Lyapunov’s stability theory with recent numerical tools for polynomial optimization. In particular\, I will present a range of examples that demonstrate how this optimization-based method enables the efficient algorithmic construction of stability certificates and the computation of rigorous bounds on performance-related system properties. Other applications\, including optimal control and disturbance amplification analysis\, will be discussed along with open problems and future research directions. \n
URL:https://micde.umich.edu/event/complex-systems-seminar-giovanni-fantuzzi-aeronautics-imperial-college-london/
LOCATION:Weiser Hall\, Room 747\, 500 Church St\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/sites/6/2018/10/GiovanniFantuzzi2018.png
END:VEVENT
END:VCALENDAR