Parametric Macromodeling using Interpolation of Sylvester based State-space Realizations
Elizabeth Rita Samuel, Luc Knockaert, Tom Dhaene
2013
Abstract
A novel state-space realization for parametric macromodeling is proposed in this paper. A judicious choice of the state-space realization is required to account for the generally assumed smoothness of the state-space matrices with respect to the design parameters. This is used in combination with suitable interpolation schemes to interpolate a set of state-space matrices, and hence the poles and residues indirectly, in order to build accurate parametric macromodels. The key points are the choice of a proper pivot matrix and the solution of a Sylvester equation for pole placement. Pertinent numerical examples validate the proposed state-space realization for parametric macromodeling
References
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Paper Citation
in Harvard Style
Rita Samuel E., Knockaert L. and Dhaene T. (2013). Parametric Macromodeling using Interpolation of Sylvester based State-space Realizations . In Proceedings of the 10th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-8565-70-9, pages 319-325. DOI: 10.5220/0004401603190325
in Bibtex Style
@conference{icinco13,
author={Elizabeth Rita Samuel and Luc Knockaert and Tom Dhaene},
title={Parametric Macromodeling using Interpolation of Sylvester based State-space Realizations},
booktitle={Proceedings of the 10th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2013},
pages={319-325},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004401603190325},
isbn={978-989-8565-70-9},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 10th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - Parametric Macromodeling using Interpolation of Sylvester based State-space Realizations
SN - 978-989-8565-70-9
AU - Rita Samuel E.
AU - Knockaert L.
AU - Dhaene T.
PY - 2013
SP - 319
EP - 325
DO - 10.5220/0004401603190325