Name
Title | ||
|---|---|---|
Positive-Real Truncated Balanced Realization based Frequency-Weighted Model reduction |
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/ANZCC47194.2019.8945663 | 2019 Australian & New Zealand Control Conference (ANZCC) |
Keywords | DocType | ISBN |
frequency-weighted model reduction,real-truncated balanced realization,passive reduced-order model,passive high order model,frequency-weighted positive real balanced truncation,PR-TBR,single-sided weighting only,RLC ladder network | Conference | 978-1-7281-1787-4 |
Citations | PageRank | References |
0 | 0.34 | 9 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kumar, D. | 1 | 5 | 6.34 |
| Umair Zulfiqar | 2 | 4 | 3.85 |
| Victor Sreeram | 3 | 0 | 0.68 |
| Muhammad Imran | 4 | 0 | 0.34 |
| Wan Mariam Wan Muda | 5 | 0 | 0.34 |
| Ahmad Jazlan | 6 | 0 | 0.34 |
| Ai-Guo Wu | 7 | 257 | 37.64 |