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A black-box method for parametric model order reduction based on matrix interpolation with application to simulation and control

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This thesis deals with model order reduction of parameter-dependent systems based on interpolation of locally reduced system matrices. A Black-Box method is proposed that automatically determines the optimal design parameters and delivers a reduced system with desired accuracy. In addition, the method is extended to stability-preservation and interpolation for high-dimensional parameter spaces. The benefit of the method is demonstrated for examples from simulation and control.

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A black-box method for parametric model order reduction based on matrix interpolation with application to simulation and control, Matthias Geuß

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2016
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