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Tuning space mapping: the state of the art

dc.contributor.authorCheng, Q.S.
dc.contributor.authorBandler, John
dc.contributor.authorKoziel, S.
dc.date.accessioned2023-08-24T14:12:57Z
dc.date.available2023-08-24T14:12:57Z
dc.date.issued2012-08-09
dc.descriptionThis presentation was given as part of the “Space Mapping Modeling and Optimization in Microwave Engineering I” section of the Third International Workshop on Surrogate Modelling and Space Mapping for Engineering Optimization (SMSMEO). The workshop took place from August 9-12, 2012 at the University of Reykjavik, Iceland. For further information see http://eomc.ru.is/smsmeo2012/.en_US
dc.description.abstractElectromagnetics (EM) accuracy and circuit-design speed can be achieved simultaneously through a tuning space mapping approach. Tuning space mapping is based on the intuitive idea of “space mapping” and an EM-simulator-based tuning methodology. We briefly review the state of the art of computer-based optimal tuning of microwave circuits. We explain the art of microwave design optimization through our “tuning space mapping” procedures. These procedures involve various distinct types (e.g., Type 1 and Type 0) of so-called auxiliary fine model (fine model with tuning ports) and tuning models (auxiliary fine models augmented with tunable or tuning elements). We demonstrate the implementation of these sets of models through simple examples. We provide application examples utilizing commercial simulation software. Our purpose is to help engineers at large understand tuning space mapping methodology and to inspire new implementations and applications.en_US
dc.identifier.citationCheng, Q.S., J.W. Bandler, and S. Koziel, “Tuning space mapping: the state of the art,” Third International Workshop on Surrogate Modelling and Space Mapping for Engineering Optimization, Reykjavik University, Iceland, August 9, 2012.en_US
dc.identifier.urihttp://hdl.handle.net/11375/28828
dc.language.isoen_USen_US
dc.subjectelectromagneticsen_US
dc.subjectspace mappingen_US
dc.subjecttuning space mappingen_US
dc.subjectdesign optimizationen_US
dc.subjectsurrogate modelingen_US
dc.subjectengineering optimizationen_US
dc.subjectelectromagnetic optimizationen_US
dc.subjectimplicit space mappingen_US
dc.titleTuning space mapping: the state of the arten_US
dc.typePresentationen_US

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