Properties of frequency weighted balanced truncation techniques for discrete-time system
The concept of approximating a linear system into a more manageable order has been a constant fascination for many years [1][8][9]. Enns [2] in particular has initiated a method for reducing a stable high order model with frequency weightings based on balanced truncation technique [1]. In Enns'...
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my.utm.453522017-10-11T02:41:29Z http://eprints.utm.my/id/eprint/45352/ Properties of frequency weighted balanced truncation techniques for discrete-time system Sahlan, Shafishuhaza Wahab, Norhaliza QA76 Computer software The concept of approximating a linear system into a more manageable order has been a constant fascination for many years [1][8][9]. Enns [2] in particular has initiated a method for reducing a stable high order model with frequency weightings based on balanced truncation technique [1]. In Enns' method, when using input or output weighting, the reduced order system will yield stable reduced order model. However, when both weightings are present, the stability of the reduced order system is not guaranteed. Lin and Chiu [3] has since proposed a different method to guarantee stability even when both weightings are present under certain assumptions i.e. using strictly proper functions and no occurence of pole-zero cancellations when forming the augmented systems. Wang et al [5] has also solved the stability problem of Enns' for two-sided case by introducing fictitious input and output matrices. Penerbit UTM Press 2011 Book Section PeerReviewed Sahlan, Shafishuhaza and Wahab, Norhaliza (2011) Properties of frequency weighted balanced truncation techniques for discrete-time system. In: Progress in Process Tomography & Instrumentation System: Series 4/ 2011. Penerbit UTM Press, Skudai, Johor, pp. 241-260. ISBN 978-967-354-181-2 http://ieeexplore.ieee.org/document/4341795/ |
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QA76 Computer software Sahlan, Shafishuhaza Wahab, Norhaliza Properties of frequency weighted balanced truncation techniques for discrete-time system |
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The concept of approximating a linear system into a more manageable order has been a constant fascination for many years [1][8][9]. Enns [2] in particular has initiated a method for reducing a stable high order model with frequency weightings based on balanced truncation technique [1]. In Enns' method, when using input or output weighting, the reduced order system will yield stable reduced order model. However, when both weightings are present, the stability of the reduced order system is not guaranteed. Lin and Chiu [3] has since proposed a different method to guarantee stability even when both weightings are present under certain assumptions i.e. using strictly proper functions and no occurence of pole-zero cancellations when forming the augmented systems. Wang et al [5] has also solved the stability problem of Enns' for two-sided case by introducing fictitious input and output matrices. |
format |
Book Section |
author |
Sahlan, Shafishuhaza Wahab, Norhaliza |
author_facet |
Sahlan, Shafishuhaza Wahab, Norhaliza |
author_sort |
Sahlan, Shafishuhaza |
title |
Properties of frequency weighted balanced truncation techniques for discrete-time system |
title_short |
Properties of frequency weighted balanced truncation techniques for discrete-time system |
title_full |
Properties of frequency weighted balanced truncation techniques for discrete-time system |
title_fullStr |
Properties of frequency weighted balanced truncation techniques for discrete-time system |
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Properties of frequency weighted balanced truncation techniques for discrete-time system |
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properties of frequency weighted balanced truncation techniques for discrete-time system |
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Penerbit UTM Press |
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2011 |
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http://eprints.utm.my/id/eprint/45352/ http://ieeexplore.ieee.org/document/4341795/ |
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