# Sampling-free parametric model reduction for structured systems

@article{Beattie2019SamplingfreePM, title={Sampling-free parametric model reduction for structured systems}, author={C. Beattie and S. Gugercin and Z. Tomljanovic}, journal={ArXiv}, year={2019}, volume={abs/1912.11382} }

We consider the reduction of parametric families of linear dynamical systems having an affine parameter dependence that differ from one another by a low-rank variation in the state matrix. Usual approaches for parametric model reduction typically involve exploring the parameter space to isolate representative models on which to focus model reduction methodology, which are then combined in various ways in order to interpolate the response from these representative models. The initial exploration… CONTINUE READING

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