Title:
An overview of the model reduction problem and some new results

Speaker: Thanos Antoulas

Abstract: In many applications one is faced with the task
of simulating or controlling complex dynamical systems.
Such applications include for instance, weather prediction,
electronic system design, control of high-rise buildings,
and many others. In all these
cases complexity manifests itself as the number of first
order differential equations which arise. For the above examples,
depending on the level of modeling detail required,
complexity may range anywhere from a few thousand
to a few million first order equations, and above. Simulating
(controlling) systems of such complexity becomes a challenging
problem, irrespective of the computational resources available.
In this talk we will first give a brief overview of the model
reduction problem and will subsequently state two recent results
which have application to electronic system design.