Comparison of modeling techniques in circuit variability analysis
International Journal of Numerical Modelling: Electronic Networks, Devices and Fields
Accurate low-cost microwave component models using shape-preserving response prediction
International Journal of Numerical Modelling: Electronic Networks, Devices and Fields
Surrogate modeling of microwave structures using kriging, co-kriging, and space mapping
International Journal of Numerical Modelling: Electronic Networks, Devices and Fields
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We review the latest developments in space-mapping-based modeling techniques with applications in microwave engineering. We discuss the two techniques that utilize a combination of standard space mapping and function approximation methodologies, in particular fuzzy systems and support vector regression (SVR). In both cases, the initial space-mapping model is enhanced by an additional term that approximates the differences between the fine model and the initial space-mapping surrogate. We compare the standard and enhanced space-mapping models, as well as the fuzzy systems and SVR directly used for modeling fine model data. A discussion of the advantages and disadvantages of the presented methods is also given. Copyright © 2010 John Wiley & Sons, Ltd.