Passivity preserving model reduction via a structured Lanczos method

  title={Passivity preserving model reduction via a structured Lanczos method},
  author={Heike Fa\ssbender and Peter Benner},
  journal={2006 IEEE Conference on Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control},
Nowadays, modeling dynamical systems often yields state-space models of very high order (that is, 10,000 or more equations). In order to guarantee a numerical simulation in reasonable time, the dynamical system is reduced to one of the same form which allows simulation of and control-design for the reduced-order state-space model in much less computing time. Usually one would like to obtain a reduced-order system that has the same properties as the original system. In this paper, we will… CONTINUE READING
6 Extracted Citations
40 Extracted References
Similar Papers

Referenced Papers

Publications referenced by this paper.
Showing 1-10 of 40 references

A new result on positive real interpolation and model reduction

  • A. C. Antoulas
  • Systems & Control Letters 54:361-374,
  • 2005
Highly Influential
6 Excerpts

Computing passive reduced-order LTI models using structured Krylov subspace methods

  • P. Benner, H. Faßbender
  • Preprint TU Chemnitz,
  • 2006
1 Excerpt

A survey of model reduction by balanced truncation and some new results

  • S. Gugercin, A. C. Antoulas
  • International Journal of Control
  • 2004
2 Excerpts

Similar Papers

Loading similar papers…