BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//CERN//INDICO//EN
BEGIN:VEVENT
SUMMARY:Feedback control of epidemic models using Hamilton-Jacobi-Bellman
equation
DTSTART;VALUE=DATE-TIME:20180709T094500Z
DTEND;VALUE=DATE-TIME:20180709T100000Z
DTSTAMP;VALUE=DATE-TIME:20241103T062745Z
UID:indico-contribution-357@conferences.maths.unsw.edu.au
DESCRIPTION:Speakers: Yoon-gu Hwang (Yonsei University)\nIn this research\
, we study feedback control problem in the context of deterministic epidem
ic models. Feedback control is obtained by solving Hamilton-Jacobi-Bellman
(HJB) equation\, which is employed to overcome limitations of previous wor
k. There are three key factors in the implementation of this methodology\,
decoupling value function and control variables\, truncation of unbounded
domain\, and numerical solver for 1st order hyperbolic PDE. While this ap
proach seems complicated\, it has an obvious advantage in generalization t
o stochastic optimal control problem. With proper treatments for technical
challenges\, we provide a tool that can be widely applied.\n\nhttps://con
ferences.maths.unsw.edu.au/event/2/contributions/357/
LOCATION:University of Sydney Holme Building/--The Refectory
URL:https://conferences.maths.unsw.edu.au/event/2/contributions/357/
END:VEVENT
END:VCALENDAR