Dear all,

It is my great pleasure to invite you all to today’s NOMADS seminar by Emre Mengi from Koc University (Turkey), who will present recent work on the computation of the dominant poles of a transfer function of a descriptor system.
The seminar will take place **today Sept 19 at 14:30 (CET) in GSSI’s Library (NOT the main lecture hall as previously announced).
Remote participation will also be possible via the zoom link: https://us02web.zoom.us/j/89668910844?pwd=TmVwQUFoNklUajAzMlEyMzB6ZVZzUT09

Below you can find title and abstract.
Hope to see you all later today!

All the best,

 

 

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Emre Mengi, 
Koc University, Istanbul, Turkey
http://home.ku.edu.tr/~emengi/


Title:
Large-Scale Estimation of the Dominant Poles of a Transfer Function

Abstract:
The dominant poles of the transfer function of a descriptor system provide
important insight into the behavior of the system. They indicate the parts
of the imaginary axis where the transfer function exhibits large norm. Moreover,
the dominant poles and corresponding eigenvectors can be put in use to form a
reduced-order approximation to the system. In the talk, I will describe a subspace
framework to compute a prescribed number of dominant poles of a large-scale descriptor
system. The framework applies Petrov-Galerkin projections to the original system,
then computes the dominant poles of the projected small-scale system, for instance
by the QZ algorithm, and expands the subspaces so that the projected system after the
subspace expansion interpolates the original system at these dominant poles.
I will explain why the subspace framework converges at a quadratic rate, and report
numerical results illustrating the rapid convergence, and accuracy of the approach.


For more information, please see:
https://num-gssi.github.io/seminar/

The seminar will take place in the Library, but remote participation will also be possible via the zoom link:
https://us02web.zoom.us/j/89668910844?pwd=TmVwQUFoNklUajAzMlEyMzB6ZVZzUT09