Case Study: Parametrized Reduction Using Reduced-Basis and the Loewner Framework

Case Study: Parametrized Reduction Using Reduced-Basis and the Loewner Framework
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案例研究:使用简化基础和 Loewner 框架进行参数化简化

DOI:
10.1007/978-3-319-02090-7_2
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发表时间:
2013
期刊:
影响因子:
--
通讯作者:
A. C. Antoulas
A. C. Antoulas
中科院分区:
--
文献类型:
--
作者:
A. C. Ionita;A. C. Antoulas

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在这个案例研究中,我们比较了两种参数化系统的模型降阶方法,即减基插值法和Loewner有理插值法,虽然这两种方法的目的都是为大规模参数依赖系统构造降阶模型,但这两种方法遵循的方法截然不同。一方面,众所周知的减基方法采用了一种时间域方法,使用了全阶系统的离线快照并结合了严格的误差界。另一方面,最近引入的Loewner矩阵框架采用了一种频域方法,该方法构造了传递函数测量值的有理内插,并具有允许对每个频率变量和参数变量进行不同降阶的灵活性。我们将这两种方法应用于模拟浸入流体的圆柱体表面附近的瞬时温度演化的参数化偏微分方程组。然后,我们通过进行时间域和频域仿真,将所得到的降阶模型与全阶有限元系统进行了比较。
In this case study, we compare two methods for model reduction of parametrized systems, namely, Reduced-Basis and Loewner rational interpolation.While having the same goal of constructing reduced-order models for large-scale parameter-dependent systems, the two methods follow fundamentally different approaches. On the one hand, the well known Reduced-Basis method takes a time domain approach, using offline snapshots of the full-order system combined with a rigorous error bound. On the other hand, the recently introduced Loewner matrix framework takes a frequency-domain approach that constructs rational interpolants of transfer function measurements, and has the flexibility of allowing different reduced-orders for each of the frequency and parameter variables.We apply the two methods to a parametrized partial differential equation modeling the transient temperature evolution near the surface of a cylinder immersed in fluid. Then, we compare the resulting reduced-order models with the full-order finite element system by running both time- and frequency-domain simulations.
DOI: 10.1016/j.laa.2011.07.017
发表时间: 2012-04-15
影响因子: 1.1
作者:
Antoulas, A. C.;Ionita, A. C.;Lefteriu, S.
通讯作者: Lefteriu, S.
二维系统的最小实现
DOI: --
发表时间: 1991
期刊:
影响因子: --
作者:
G. Gu;J. Aravena;K. Zhou
通讯作者: K. Zhou