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Model Reduction of Parametric Differential-Algebraic Systems by Balanced Truncation
In this article, we deduce a procedure to apply balanced truncation to
parameter-dependent differential-algebraic systems. For that we solve multiple
projected Lyapunov equations for different parameter values to compute the
Gramians that are required for the truncation procedure. As this process would
lead to high computational costs if we perform it for a large number of
parameters. Hence, we combine this approach with the reduced basis method that
determines a reduced representation of the Lyapunov equation solutions for the
parameters of interest. Residual-based error estimators are then used to
evaluate the quality of the approximations. After introducing the procedure for
a general class of differential-algebraic systems we turn our focus to systems
with a certain structure, for which the method can be applied particularly
efficiently. We illustrate the effectiveness of our approach on several models
from fluid dynamics and mechanics. We further consider an application of the
method in the context of damping optimization
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