Passivity preserving model reduction via a structured Lanczos method

@article{Fabender2006PassivityPM,
  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},
  year={2006},
  pages={8-13}
}
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
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