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DTSTART:20181104T020000
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UID:calendar.153696.field_date.0@www.wpi.edu
DTSTAMP:20190920T061316Z
CREATED:20190124T190106Z
DESCRIPTION:Description of Event: \n\n\n \n \n \n \n \n\nAE 5090. GRADUATE
AEROSPACE ENGINEERING COLLOQUIUM\n\n \n\n \n \n\n \n\nData-Driven Reduced Ord
er Model Stabilization for Partial Differential Equations based on Lyapuno
v Theory and Extremum Seeking\n \n \n\n \n\nDr. Mouhacine Benosman\n Senior Pr
incipal Research Scientist\n Mitsubishi Electric Research Laboratories\n Cam
bridge\, MA 02139-1955 \n\n \n\n3:00 PM\, Friday\, Feb. 1\, 2019\n Higgins L
abs 202\n \n\n \n\n \n \n\nAbstract\n \n\n \n\nThe problem of reducing a partia
l differential equation (PDE) to a system of finite dimensional ordinary d
ifferential equations (ODE)\, is of paramount importance in engineering an
d physics where solving PDE models is often too time consuming. The idea o
f being able to reduce the PDE model to a simple ODE model without loosing
the main characteristics of the original model\, such as stability and pr
ediction precision\, is appealing for any real-time model-based estimation
and control applications. However\, this problem remains challenging sinc
e model reduction can introduce stability loss and prediction degradation.
To remedy these problems many methods have been developed aiming at what
is known as stable model reduction.\n \n In this talk\, we focus on the so-c
alled closure models and their application in reduced order model (ROM) st
abilization. We present some results on robust stabilization for reduced o
rder models (ROM) of partial differential equations using Lyapunov theory.
Stabilization is achieved via closure models for ROMs where we use Lyapun
ov theory to design a new closure model\, which is robust with respect to
model structured uncertainties. Furthermore\, we use an extremum-seeking a
lgorithm to optimally tune the closure models' parameters for optimal ROM
stabilization. The 3D Boussinesq equation examples is employed as a test-b
ed for the proposed stabilization method.\n \n
DTSTART;TZID=America/New_York:20190201T150000
DTEND;TZID=America/New_York:20190201T160000
LAST-MODIFIED:20190129T180453Z
LOCATION:Higgins Laboratories
SUMMARY:Data-Driven Reduced Order Model Stabilization for Partial Different
ial Equations based on Lyapunov Theory and Extremum Seeking
URL;TYPE=URI:https://www.wpi.edu/news/calendar/events/data-driven-reduced-o
rder-model-stabilization-partial-differential-equations
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