A Black-Box Method for Parametric Model Order Reduction based on Matrix Interpolation with Application to Simulation and Control

Beschreibung

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.

Autor*in

Matthias Geuß

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Black-Box Method Matrix Interpolation Parametric Model Order Reduction

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