BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:A Hybrid Control Framework for Accelerated Methods with Exponentia
 l Rate
DTSTART:20180525T101500
DTEND:20180525T110000
DTSTAMP:20260501T053110Z
UID:0c1c7a4309db2176f6256386ee25f6534fafcc01d02743773f4faada
CATEGORIES:Conferences - Seminars
DESCRIPTION:Tamás Keviczky\, Delft Center for Systems and Control\, Delft
  University of Technology\nAbstract: Ordinary differential equations\, an
 d in general a dynamical system viewpoint\, have seen a resurgence of inte
 rest in developing fast optimization methods\, mainly thanks to the availa
 bility of well-established analysis tools.\n\nIn this talk\, I will provid
 e an overview of fast algorithms and recent results from a dynamical syste
 ms perspective. I will then describe a hybrid control framework to design 
 a class of fast gradient-based methods in continuous-time that\, in compar
 ison with the existing literature including Nesterov’s fast-gradient met
 hod\, features a state-dependent\, time-invariant damping term that acts a
 s a feedback control input. The proposed design scheme allows for a user-d
 efined\, exponential rate of convergence for a class of nonconvex\, uncons
 trained optimization problems. Finally\, I will introduce a discretization
  method such that the resulting discrete dynamical system possesses an exp
 onential rate of convergence.\n\nBio: Dr. Tamas Keviczky is an Associate 
 Professor in Networked Cyber-Physical Systems at the Delft Center for Syst
 ems and Control\, TU Delft. He was a Postdoctoral Scholar at the Californi
 a Institute of Technology and received his PhD in Control Science and Dyna
 mical Systems from the University of Minnesota. He was awarded the AACC O.
  Hugo Schuck Best Paper Award for Practice. He has served as an Associate 
 Editor of Automatica since 2011 and has published over 100 scientific arti
 cles. His main research interests include distributed optimization and opt
 imal control\, model predictive control\, embedded optimization-based cont
 rol and estimation of large-scale systems with applications in aerospace\,
  automotive and mobile robotics\, industrial processes\, and infrastructur
 e systems such as water\, heat\, and electricity networks.\n 
LOCATION:ME C2 405 https://plan.epfl.ch/?room=MEC2405
STATUS:CONFIRMED
END:VEVENT
END:VCALENDAR