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• W2912708497 abstract "Abstract In this paper, we present a new method in the reduction of large-scale linear differential-algebraic equation (DAE) systems. The approach is to first change the DAE system into a parametric ordinary differential equation (ODE) system via the e-embedding technique. Next, based on parametric moment matching, we give the parameterized model order reduction (MOR) method to reduce this parametric system, and a new Arnoldi parameterized method is proposed to construct the column-orthonormal matrix. From the reduced-order parametric system, we get the reduced-order DAE system, which can preserve the structure of the original DAE system. Besides, the parametric moment matching for the reduced-order parametric systems is analyzed. Finally, the effectiveness of our method is successfully illustrated via two numerical examples." @default.
• W2912708497 created "2019-02-21" @default.
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• W2912708497 date "2019-03-01" @default.
• W2912708497 modified "2023-09-29" @default.
• W2912708497 title "Parameterized model order reduction for linear DAE systems via ε-embedding technique" @default.
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• W2912708497 doi "https://doi.org/10.1016/j.jfranklin.2018.08.032" @default.
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