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An improved algorithm for frequency weighted balanced truncation

Authors: Wan Mariam Wan Muda; Victor Sreeram; Herbert Ho-Ching Iu;

An improved algorithm for frequency weighted balanced truncation

Abstract

In this paper, a new frequency weighted balanced truncation based on Lin and Chiu's technique [1] is presented. The method proposed is a modification to Sreeram and Sahlan's technique [2] by using the relationship between the intermediate reduced order model and the final reduced order model. A numerical example and comparison with other well-known techniques shows that a significant approximation error reduction can be achieved using this improvement.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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