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...

Full description

Saved in:

Bibliographic Details
Main Author:	Wan Mariam Wan Muda
Format:	Thesis
Language:	English
Subjects:	QC 178 .W3 2012 Wan Mariam Wan Muda Tesis The University of Western Australia 2012 Gravitation > Experiments
Online Access:	http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/3041/1/QC%20178%20.W3%202012%20Abstract.pdf http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/3041/2/QC%20178%20.W3%202012%20FullText.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-umt-ir.-3041
record_format	uketd_dc
spelling	my-umt-ir.-30412014-05-18T07:27:32Z Frequency weighted model order reduction techniques Wan Mariam Wan Muda 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. Australia: The University of Western Australia 2012 Thesis en http://dspace.psnz.umt.edu.my/xmlui/handle/123456789/3041 http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/3041/1/QC%20178%20.W3%202012%20Abstract.pdf 807a03ee11bcf1cd48cc451b29ea1569 http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/3041/2/QC%20178%20.W3%202012%20FullText.pdf 0e6b66dbbb6454fee730075bff6e401a http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/3041/3/license.txt 8a4605be74aa9ea9d79846c1fba20a33 QC 178 .W3 2012 Wan Mariam Wan Muda Tesis The University of Western Australia 2012 Gravitation -- Experiments
institution	Universiti Malaysia Terengganu
collection	UMT Repository System
language	English
topic	QC 178 .W3 2012 Wan Mariam Wan Muda Tesis The University of Western Australia 2012 Gravitation -- Experiments
spellingShingle	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
description	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.
format	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
title_full_unstemmed	Frequency weighted model order reduction techniques
title_sort	frequency weighted model order reduction techniques
granting_institution	Australia: The University of Western Australia
url	http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/3041/1/QC%20178%20.W3%202012%20Abstract.pdf http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/3041/2/QC%20178%20.W3%202012%20FullText.pdf
_version_	1747835859970818048

Frequency weighted model order reduction techniques

Similar Items