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Surrogate modeling of microwave circuits using polynomial functional interpolants
A new formulation for developing surrogate models using polynomial-based functional interpolants is proposed in this work. Our formulation starts from a zero-order model that can be as simple as a fixed fine model response (for cases where a continuous coarse model is not available), or it can also...
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creator | Rayas-Sanchez, J. E. Aguilar-Torrentera, J. Jasso-Urzua, J. A. |
description | A new formulation for developing surrogate models using polynomial-based functional interpolants is proposed in this work. Our formulation starts from a zero-order model that can be as simple as a fixed fine model response (for cases where a continuous coarse model is not available), or it can also be a simple linear input mapped coarse model. This zero-order model is enhanced by multidimensional polynomial interpolants around a central base point in the design space. The polynomial approximation is a low-order function of the design variables, and it is used to interpolate highly accurate electromagnetic responses in a region of interest around the selected central base point. Global optimal values for the surrogate model weighting factors are efficiently obtained in closed form, using compact formulas. Our technique is illustrated by a substrate integrated waveguide interconnect with CPW transitions. |
doi_str_mv | 10.1109/MWSYM.2010.5516727 |
format | conference_proceeding |
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A.</creator><creatorcontrib>Rayas-Sanchez, J. E. ; Aguilar-Torrentera, J. ; Jasso-Urzua, J. A.</creatorcontrib><description>A new formulation for developing surrogate models using polynomial-based functional interpolants is proposed in this work. Our formulation starts from a zero-order model that can be as simple as a fixed fine model response (for cases where a continuous coarse model is not available), or it can also be a simple linear input mapped coarse model. This zero-order model is enhanced by multidimensional polynomial interpolants around a central base point in the design space. The polynomial approximation is a low-order function of the design variables, and it is used to interpolate highly accurate electromagnetic responses in a region of interest around the selected central base point. Global optimal values for the surrogate model weighting factors are efficiently obtained in closed form, using compact formulas. 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E.</creatorcontrib><creatorcontrib>Aguilar-Torrentera, J.</creatorcontrib><creatorcontrib>Jasso-Urzua, J. A.</creatorcontrib><title>Surrogate modeling of microwave circuits using polynomial functional interpolants</title><title>2010 IEEE MTT-S International Microwave Symposium</title><addtitle>MWSYM</addtitle><description>A new formulation for developing surrogate models using polynomial-based functional interpolants is proposed in this work. Our formulation starts from a zero-order model that can be as simple as a fixed fine model response (for cases where a continuous coarse model is not available), or it can also be a simple linear input mapped coarse model. This zero-order model is enhanced by multidimensional polynomial interpolants around a central base point in the design space. The polynomial approximation is a low-order function of the design variables, and it is used to interpolate highly accurate electromagnetic responses in a region of interest around the selected central base point. Global optimal values for the surrogate model weighting factors are efficiently obtained in closed form, using compact formulas. Our technique is illustrated by a substrate integrated waveguide interconnect with CPW transitions.</description><subject>Coplanar waveguides</subject><subject>Design optimization</subject><subject>Electromagnetic waveguides</subject><subject>Integrated circuit interconnections</subject><subject>Microwave circuits</subject><subject>Microwave technology</subject><subject>Multidimensional systems</subject><subject>Polynomials</subject><subject>Space technology</subject><subject>Waveguide transitions</subject><issn>0149-645X</issn><issn>2576-7216</issn><isbn>1424460565</isbn><isbn>9781424460564</isbn><isbn>1424460573</isbn><isbn>1424460581</isbn><isbn>1424477328</isbn><isbn>9781424460588</isbn><isbn>9781424477326</isbn><isbn>9781424460571</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2010</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNp9zr1uwjAUBeBb2kok0BeAxS8Qahv_wFwVsWSoqFSYIit10K0SG9lOK96eVEJiYzrn6FsOwIzRBWN0_Vp-7Q7lgtNhS8mU5voBcia4EIpKvRxBxqVWheZMPd5AySfIKBPrQgm5H0Me4w-lVK6YyuBj14fgjyZZ0vlv26I7Et-QDuvg_8yvJTWGuscUSR__7eTbs_MdmpY0vasTejdUdMmGgYxLcQrPjWmjfbnmBOab98-3bYHW2uoUsDPhXF3_L-_rBS6BRm8</recordid><startdate>201005</startdate><enddate>201005</enddate><creator>Rayas-Sanchez, J. 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A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-ieee_primary_55167273</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Coplanar waveguides</topic><topic>Design optimization</topic><topic>Electromagnetic waveguides</topic><topic>Integrated circuit interconnections</topic><topic>Microwave circuits</topic><topic>Microwave technology</topic><topic>Multidimensional systems</topic><topic>Polynomials</topic><topic>Space technology</topic><topic>Waveguide transitions</topic><toplevel>online_resources</toplevel><creatorcontrib>Rayas-Sanchez, J. E.</creatorcontrib><creatorcontrib>Aguilar-Torrentera, J.</creatorcontrib><creatorcontrib>Jasso-Urzua, J. A.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Xplore (Online service)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Rayas-Sanchez, J. E.</au><au>Aguilar-Torrentera, J.</au><au>Jasso-Urzua, J. A.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Surrogate modeling of microwave circuits using polynomial functional interpolants</atitle><btitle>2010 IEEE MTT-S International Microwave Symposium</btitle><stitle>MWSYM</stitle><date>2010-05</date><risdate>2010</risdate><spage>1</spage><epage>1</epage><pages>1-1</pages><issn>0149-645X</issn><eissn>2576-7216</eissn><isbn>1424460565</isbn><isbn>9781424460564</isbn><eisbn>1424460573</eisbn><eisbn>1424460581</eisbn><eisbn>1424477328</eisbn><eisbn>9781424460588</eisbn><eisbn>9781424477326</eisbn><eisbn>9781424460571</eisbn><abstract>A new formulation for developing surrogate models using polynomial-based functional interpolants is proposed in this work. Our formulation starts from a zero-order model that can be as simple as a fixed fine model response (for cases where a continuous coarse model is not available), or it can also be a simple linear input mapped coarse model. This zero-order model is enhanced by multidimensional polynomial interpolants around a central base point in the design space. The polynomial approximation is a low-order function of the design variables, and it is used to interpolate highly accurate electromagnetic responses in a region of interest around the selected central base point. Global optimal values for the surrogate model weighting factors are efficiently obtained in closed form, using compact formulas. Our technique is illustrated by a substrate integrated waveguide interconnect with CPW transitions.</abstract><pub>IEEE</pub><doi>10.1109/MWSYM.2010.5516727</doi></addata></record> |
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subjects | Coplanar waveguides Design optimization Electromagnetic waveguides Integrated circuit interconnections Microwave circuits Microwave technology Multidimensional systems Polynomials Space technology Waveguide transitions |
title | Surrogate modeling of microwave circuits using polynomial functional interpolants |
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