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Loewner approach model order reduction in hybrid BI-FEM solution for the design of frequency selective surfaces
Citation
Rubia Hernández, Valentín de la and Tinoco Galafate, Sofía and Peng, Zhen (2017). Loewner approach model order reduction in hybrid BI-FEM solution for the design of frequency selective surfaces. In: "2017 IEEE MTT-S International Microwave Workshop Series on Advanced Materials and Processes for RF and THz Applications (IMWS-AMP)", 20/09/2017 - 22/09/2017, Pavia, Italy. pp. 1-3. https://doi.org/10.1109/IMWS-AMP.2017.8247350.
Description
| Title: | Loewner approach model order reduction in hybrid BI-FEM solution for the design of frequency selective surfaces |
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| Author/s: |
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| Item Type: | Presentation at Congress or Conference (Article) |
| Event Title: | 2017 IEEE MTT-S International Microwave Workshop Series on Advanced Materials and Processes for RF and THz Applications (IMWS-AMP) |
| Event Dates: | 20/09/2017 - 22/09/2017 |
| Event Location: | Pavia, Italy |
| Title of Book: | IEEE MTT-S International Microwave Workshop Series on Advanced Materials and Processes for RF and THz Applications (IMWS-AMP) |
| Date: | 2017 |
| Subjects: | |
| Freetext Keywords: | Boundary element methods; discontinuous Galerkin methods; finite element methods; Loewner framework; reduced order systems |
| Faculty: | E.T.S.I. Telecomunicación (UPM) |
| Department: | Matemática Aplicada a las Tecnologías de la Información y las Comunicaciones |
| Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
Abstract
A Loewner matrix data-driven model order reduction technique for fast frequency sweep in 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 simulation scatering parameters. A Loewner matrix approach is taken into account to provide a tangential interpolation to output data. As a result, a dynamical system representation fitting the simulation data is obtained, and further electromagnetic insight can be obtained from this system representation.
More information
| Item ID: | 50932 |
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| DC Identifier: | https://oa.upm.es/50932/ |
| OAI Identifier: | oai:oa.upm.es:50932 |
| DOI: | 10.1109/IMWS-AMP.2017.8247350 |
| Official URL: | https://ieeexplore.ieee.org/document/8247350 |
| Deposited by: | Memoria Investigacion |
| Deposited on: | 02 Apr 2019 16:58 |
| Last Modified: | 02 Apr 2019 16:58 |
