Properties of a Parameterized Model Reduction Method
(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.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1750256
- author
- Sootla, Aivar LU
- organization
- publishing date
- 2010
- 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
- conference location
- Budapest, Hungary
- conference dates
- 2010-07-05 - 2010-07-09
- language
- English
- LU publication?
- yes
- id
- f0743c37-357d-4c32-8fdf-b0be6ae40ede (old id 1750256)
- date added to LUP
- 2016-04-04 13:05:23
- date last changed
- 2018-11-21 21:12:08
@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}}, keywords = {{parameterized model reduction; convex optimization; model reduction}}, language = {{eng}}, title = {{Properties of a Parameterized Model Reduction Method}}, url = {{https://lup.lub.lu.se/search/files/6050224/8168867.pdf}}, year = {{2010}}, }