Frequency Domain Model Reduction Method for Parameter-Dependent Systems
Aivar Sootla, Kin Cheong Sou
In this paper a modification of a recently
proposed model simplification method for linear time invariant parameterized models is presented. It is able
to obtain models with explicit parameter dependence. The method is
based on convex optimization with semidefinite constraints.
Computation of the reduced model requires only the frequency samples
of the full one, hence it is possible to apply the methods to large-scale models.
Numerical examples showing the drawbacks and the advantages of the method are also presented.
model reduction, convex optimization, semidefinite programming, parameter-dependent systems
In Proc. American Control Conference, Baltimore, MD, USA, In 2010 American Control Conference, Baltimore, Maryland, USA, June 2010. ISBN: 978-1-4244-7426-4 .