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UID:324@lincs.fr
DTSTART;TZID=Europe/Paris:20170906T140000
DTEND;TZID=Europe/Paris:20170906T150000
DTSTAMP:20170925T085357Z
URL:https://www.lincs.fr/events/learning-the-network-of-a-linear-dynamical
 -system-from-ambient-fluctuations/
SUMMARY:Learning the Network of a Linear Dynamical System from Ambient
 Fluctuations
DESCRIPTION:Linear Dynamical Systems are used to model several evolving
 network processes in biology\, physical systems as well as financial
 networks. Estimation of the topology of a linear dynamical system is thus
 of interest for learning and control in diverse domains. This talk presents
 a useful framework for topology estimation for general linear dynamical
 networks (loopy or radial) using time-series measurements of nodal states.
 The learning framework utilizes multivariate Wiener filtering to unravel
 the interaction between fluctuations in states at different nodes and
 identifies operational edges by considering the phase response of the
 elements of the multivariate Wiener filter. The benefit derived by
 considering samples from ambient dynamics v/s steady state measurements
 will be described along with extensions\, discussion of sample and
 computational complexity and open questions. In particular\, we discuss one
 application related to topology estimation in power grids using samples of
 nodal voltage phase angles collected from the swing equations.
CATEGORIES:Seminars,Youtube
LOCATION:LINCS Seminars room\, 23\, avenue d'Italie\, Paris\, 75013\,
 France
GEO:48.828400;2.356897
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=23\, avenue d'Italie\,
 Paris\, 75013\, France;X-APPLE-RADIUS=100;X-TITLE=LINCS Seminars
 room:geo:48.828400,2.356897
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TZID:Europe/Paris
X-LIC-LOCATION:Europe/Paris
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DTSTART:20170326T030000
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
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