H2 optimal model order reduction for parametric systems using RBF metamodels

Author: 
Sarah Grundel
Date: 
Thu, Aug 8, 2013 - Sat, Aug 10, 2013
Location: 
PIMS, University of British Columbia
Conference: 
Workshop on Numerical Linear Algebra and Optimization
Abstract: 
Model Order Reduction Methods for linear systems are well studied and many successful methods exist. We will review some and explain more recent advances in Parametric Model Order Reduction. The focus will be on methods where we interpolate certain signi cant measures, that are computed for speci c values of the parameter by Radial Basis Function Interpolation. These measures have a disadvantage as they behave like eigenvalues of matrices depending on parameters and we will explain how that can be dealt with in practice. We will furthermore need to introduce a technique to create a medium size model.
Notes: