Positive-real truncated balanced realization based frequency-weighted model reduction
In this paper, a new frequency-weighted positive real balanced truncation technique is presented by using a combination of frequency-weighted model reduction with the positive real-truncated balanced realization (PR-TBR). The proposed technique yields passive reduced-order model for a given pas...
| Main Authors: | , , , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
IEEE
2020
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/79702/ http://irep.iium.edu.my/79702/ http://irep.iium.edu.my/79702/ http://irep.iium.edu.my/79702/1/79702%20Positive-real%20truncated%20balanced%20realization.pdf http://irep.iium.edu.my/79702/2/79702%20Positive-real%20truncated%20balanced%20realization%20SCOPUS.pdf |
| Summary: | In this paper, a new frequency-weighted positive
real balanced truncation technique is presented by using a
combination of frequency-weighted model reduction with the
positive real-truncated balanced realization (PR-TBR). The
proposed technique yields passive reduced-order model for a
given passive high order model with single-sided weighting only.
The simulation results of the proposed technique are shown by
using an example problem of RLC ladder network. |
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