Robust Passivity Preserving Parametric Model Order Reduction Using Matrix Interpolation

@inproceedings{Samuel2012RobustPP,
  title={Robust Passivity Preserving Parametric Model Order Reduction Using Matrix Interpolation},
  author={Elizabeth Rita Samuel and Francesco Ferranti and Luc Knockaert and Tom Dhaene},
  booktitle={ROCOND},
  year={2012}
}
Abstract We present a novel robust parametric model order reduction method using matrix interpolation and common projection matrix. The design space is sampled over an estimation grid and transformation matrices are computed at the estimation points using a projection-based passivity preserving truncated balanced realization. A common projection matrix is obtained by the truncation of the singular values of the merged transformation matrices obtained from the estimation points in the design… CONTINUE READING

Figures, Tables, and Topics from this paper.

References

Publications referenced by this paper.
SHOWING 1-10 OF 29 REFERENCES

Freund . Krylov - subspace methods for reduced - order modeling in circuit simulation

W Roland
  • IEEE Transactions on Components , Packaging and Manufacturing Technology
  • 2011

Model Order Reduction of Parameterized Interconnect Networks via a Two-Directional Arnoldi Process

  • IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • 2008
VIEW 1 EXCERPT