Speaker: Serkan Gugercin, Virginia Tech
Title: Model reduction: A systems-theoretic perspective
Numerical simulation of large-scale dynamical systems plays a crucial
role in studying a great variety of complex physical phenomena.
However, simulations in these large-scale settings present significant
Model reduction aims to resolve this computational burden by
constructing simpler (reduced order) models, which are much easier and
faster to simulate and
yet accurately represent the original system. These simpler reduced
order models can then serve as efficient surrogates for the original,
replacing them, for example, in optimal control and design.
In this talk, we will focus on systems theoretical methods for model
reduction, with a special emphasis on interpolatory methods based on
After reviewing the concept
of interpolation in the setting of dynamical systems, we will discuss
how to construct optimal interpolants.
If time allows, we will also describe recent extensions to nonlinear
We will use various examples to illustrate the theoretical discussion.
Time: Friday, March 22, 2019, 1:30-2:30pm
Place: Exploratory Hall, Room 4106
Department of Mathematical Sciences
George Mason University
4400 University Drive, MS 3F2
Fairfax, VA 22030-4444
Tel. 703-993-1460, Fax. 703-993-1491