Frequency weighted model order reduction techniques
This thesis investigates the frequency weighted balanced model order reduction problem for linear time invariant systems. First, two new frequency weighted balanced truncation techniques based on zero cross-terms are proposed. Both methods are applicable for single-sided weighting, and are based on...
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Australia: The University of Western Australia
2014
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Online Access: | http://dspace.psnz.umt.edu.my/xmlui/handle/123456789/3041 |
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my.umt.ir-30412014-05-18T07:27:32Z Frequency weighted model order reduction techniques Wan Mariam Wan Muda QC 178 .W3 2012 Wan Mariam Wan Muda Tesis The University of Western Australia 2012 Gravitation -- Experiments This thesis investigates the frequency weighted balanced model order reduction problem for linear time invariant systems. First, two new frequency weighted balanced truncation techniques based on zero cross-terms are proposed. Both methods are applicable for single-sided weighting, and are based on modifications to Sreeram and Sahlan's technique. The first method uses the properties of all-pass function to transform the original frequency weighted model order reduction problem into an equivalent unweighted model reduction problem, while in the second method. the relationship between the final and the intermediate reduced order model used in Sreeram and Sahlan's technique is derived. Numerical examples show that a significant error reduction can be achieved using both methods. 2014-05-18T07:27:32Z 2014-05-18T07:27:32Z 2012 Thesis http://dspace.psnz.umt.edu.my/xmlui/handle/123456789/3041 en application/pdf application/pdf Australia: The University of Western Australia |
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QC 178 .W3 2012 Wan Mariam Wan Muda Tesis The University of Western Australia 2012 Gravitation -- Experiments |
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QC 178 .W3 2012 Wan Mariam Wan Muda Tesis The University of Western Australia 2012 Gravitation -- Experiments Wan Mariam Wan Muda Frequency weighted model order reduction techniques |
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This thesis investigates the frequency weighted balanced model order reduction problem for linear time invariant systems.
First, two new frequency weighted balanced truncation techniques based on zero cross-terms are proposed. Both methods are applicable for single-sided weighting, and are based on modifications to Sreeram and Sahlan's technique. The first method uses the properties of all-pass function to transform the original frequency weighted model order reduction problem into an equivalent unweighted model reduction problem, while in the second method. the relationship between the final and the intermediate
reduced order model used in Sreeram and Sahlan's technique is derived. Numerical examples show that a significant error reduction can be achieved using both methods. |
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Thesis |
author |
Wan Mariam Wan Muda |
author_facet |
Wan Mariam Wan Muda |
author_sort |
Wan Mariam Wan Muda |
title |
Frequency weighted model order reduction techniques |
title_short |
Frequency weighted model order reduction techniques |
title_full |
Frequency weighted model order reduction techniques |
title_fullStr |
Frequency weighted model order reduction techniques |
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Frequency weighted model order reduction techniques |
title_sort |
frequency weighted model order reduction techniques |
publisher |
Australia: The University of Western Australia |
publishDate |
2014 |
url |
http://dspace.psnz.umt.edu.my/xmlui/handle/123456789/3041 |
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1738395526458507264 |
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13.235796 |