Ergebnisse für: Parametric Model Order Reduction
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In this thesis the problem of stability preservation for parametric model order reduction by matrix interpolation is investigated. For this purpose the necessary mathematical fundamentals from system theory are given. Furthermore the two most popular model order reduction methods for linear systems ...
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 meth...
Increasing complexity combined with decreasing geometrical sizes in electric
circuit design lead to high dimensional dynamical models to be considered by
EDA tools.
Model order reduction (MOR) has become a popular strategy to decrease the
problem's size while preserving its crucial properties.
MOR s...
This thesis is about model order reduction methods for parametric and high-dimensional optimal feedback control problems for both linear and nonlinear systems.
In the first part of this work, the reduced basis method for the algebraic Riccati equation is introduced. This method consists of the low-...