首页> 外文会议>2017 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization for RF, Microwave, and Terahertz Applications >Data-driven model order reduction via Loewner approach for fast frequency sweep in hybrid BI-FEM solution in large finite frequency selective surfaces
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Data-driven model order reduction via Loewner approach for fast frequency sweep in hybrid BI-FEM solution in large finite frequency selective surfaces

机译:通过Loewner方法进行数据驱动的模型阶数缩减,以在大型有限频率选择性表面中的混合BI-FEM解决方案中实现快速扫频

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摘要

A data-driven model order reduction technique for fast frequency sweep in computationally intensive full-wave solution in large finite frequency selective surfaces is detailed. A hybrid Boundary Integral-Finite Element Domain Decomposition Method is addressed to accurately predict the electromagnetic behavior of these structures. A reduced-order model is built up by means of output data provided by the electromagnetic solver, which is used as a black box as regards the model order reduction process. A Loewner matrix approach is taken into account to provide a tangential interpolation to S parameter output data. As a result, a dynamical system representation fitting the simulation data is obtained, and further electromagnetic insight can be earned from this system representation.
机译:详细介绍了一种数据驱动的模型阶数减少技术,该技术可用于在大型有限频率选择面中的计算密集型全波解决方案中快速扫频。提出了一种混合边界积分有限元域分解方法,以准确预测这些结构的电磁行为。利用电磁解算器提供的输出数据建立降阶模型,就模型降阶处理而言,该数据用作黑匣子。考虑使用Loewner矩阵方法为S参数输出数据提供切向插值。结果,获得了适合模拟数据的动力学系统表示,并且可以从该系统表示中获得进一步的电磁学见解。

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