Theoretical justification of space-mapping-based modeling utilizing a database and on-demand parameter extraction

Slawomir Koziel, John W. Bandler, Kaj Madsen

    Research output: Contribution to journalJournal articleResearchpeer-review

    Abstract

    We present a theoretical justification of a recently introduced surrogate modeling methodology based on space mapping that relies on an available data base and on-demand parameter extraction. Fine model data, the so-called base set, is assumed available in the region of interest. To evaluate the surrogate, we perform parameter extraction with weighting coefficients dependent on the distance between the point of interest and base points. We provide theoretical results showing that the new methodology can assure any accuracy that is required (provided the base set is dense enough), which is not the case for our benchmark space mapping modeling methodology. Illustrative examples emphasizing differences between modeling methodologies are provided.
    Original languageEnglish
    JournalI E E E Transactions on Microwave Theory and Techniques
    Volume54
    Issue number12
    Pages (from-to)4316 - 4322
    ISSN0018-9480
    DOIs
    Publication statusPublished - 2006

    Keywords

    • surrogate modeling
    • space mapping (SM)
    • microwave circuits.
    • Computer-aided design (CAD)
    • EM modeling

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