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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Boyuan Yan Hai Wang Tan, S.X.-D. |
| Copyright Year | 2008 |
| Description | Author affiliation: Dept. of Electr. Eng., Univ. of California, Riverside, CA, USA (Boyuan Yan; Hai Wang; Tan, S.X.-D.) |
| Abstract | Model order reduction by truncated balanced realization (TBR) is better than Krylov subspace methods to achieve smaller models with global error control. TBR projects a system onto the dominant invariant subspace in terms of both controllability and observability measured by their gramians. However, to obtain two gramians, two Lyapunov equations have to be solved and its high computation costs involved limit its application to only small circuits. To mitigate this problem, several methods are proposed to obtain the approximated dominant subspace of the gramian (or gramian product). In this paper, we survey several recently proposed fast TBR methods by gramian approximation techniques for the model order reduction and simulation of RLCK circuits. We present the pros and cons of each method and compare them on some large RLCK circuits. |
| Starting Page | 2236 |
| Ending Page | 2239 |
| File Size | 1343037 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424421855 |
| DOI | 10.1109/ICSICT.2008.4735035 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-10-20 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Controllability Observability Equations Circuit simulation Approximation methods Inductance Error correction Computational efficiency Power system modeling Dissolved gas analysis |
| Content Type | Text |
| Resource Type | Article |
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