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Properties of a Parameterized Model Reduction Method

Sootla, Aivar LU (2010) 19th International Symposium on Mathematical Theory of Networks and Systems, 2010
Abstract
In this contribution a recently proposed model reduction method for a class of linear time-invariant (LTI) parameterized models is investigated. The method is based on matching of the frequency response samples using the semidefinite programming methods. The main focus of this contribution is the properties of the obtained approximations. Among those properties is stability of individual LTI systems, continuity with respect to parameters, error bounds on approximation quality.
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author
organization
publishing date
type
Contribution to conference
publication status
published
subject
keywords
parameterized model reduction, convex optimization, model reduction
conference name
19th International Symposium on Mathematical Theory of Networks and Systems, 2010
language
English
LU publication?
yes
id
f0743c37-357d-4c32-8fdf-b0be6ae40ede (old id 1750256)
date added to LUP
2010-12-27 14:54:21
date last changed
2016-06-27 13:02:59
@misc{f0743c37-357d-4c32-8fdf-b0be6ae40ede,
  abstract     = {In this contribution a recently proposed model reduction method for a class of linear time-invariant (LTI) parameterized models is investigated. The method is based on matching of the frequency response samples using the semidefinite programming methods. The main focus of this contribution is the properties of the obtained approximations. Among those properties is stability of individual LTI systems, continuity with respect to parameters, error bounds on approximation quality.},
  author       = {Sootla, Aivar},
  keyword      = {parameterized model reduction,convex optimization,model reduction},
  language     = {eng},
  title        = {Properties of a Parameterized Model Reduction Method},
  year         = {2010},
}