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Self-constructing compact parametric macromodels for efficient electronic design

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Abstract
We propose a modeling technique able to generate very efficient parametric macromodels in an automated way. The design space samples needed to build the parametric macromodels are chosen automatically by means of a suitable adaptive sampling algorithm. The size of the parametric macromodels does not increase with the number of design parameters, which leads to compact models. Stability and passivity are preserved over the design space of interest. Pertinent numerical results validate the proposed approach.
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Citation

Please use this url to cite or link to this publication:

Chicago
Ferranti, Francesco, Krishnan Chemmangat Manakkal Cheriya, Tom Dhaene, and Luc Knockaert. 2013. “Self-constructing Compact Parametric Macromodels for Efficient Electronic Design.” In 2013 17TH IEEE WORKSHOP ON SIGNAL AND POWER INTEGRITY (SPI), 97–100. New York, NY, USA: IEEE.
APA
Ferranti, F., Chemmangat Manakkal Cheriya, K., Dhaene, T., & Knockaert, L. (2013). Self-constructing compact parametric macromodels for efficient electronic design. 2013 17TH IEEE WORKSHOP ON SIGNAL AND POWER INTEGRITY (SPI) (pp. 97–100). Presented at the 17th IEEE Workshop on Signal and Power Integrity (SPI), New York, NY, USA: IEEE.
Vancouver
1.
Ferranti F, Chemmangat Manakkal Cheriya K, Dhaene T, Knockaert L. Self-constructing compact parametric macromodels for efficient electronic design. 2013 17TH IEEE WORKSHOP ON SIGNAL AND POWER INTEGRITY (SPI). New York, NY, USA: IEEE; 2013. p. 97–100.
MLA
Ferranti, Francesco, Krishnan Chemmangat Manakkal Cheriya, Tom Dhaene, et al. “Self-constructing Compact Parametric Macromodels for Efficient Electronic Design.” 2013 17TH IEEE WORKSHOP ON SIGNAL AND POWER INTEGRITY (SPI). New York, NY, USA: IEEE, 2013. 97–100. Print.
@inproceedings{4291561,
  abstract     = {We propose a modeling technique able to generate very efficient parametric macromodels in an automated way. The design space samples needed to build the parametric macromodels are chosen automatically by means of a suitable adaptive sampling algorithm. The size of the parametric macromodels does not increase with the number of design parameters, which leads to compact models. Stability and passivity are preserved over the design space of interest. Pertinent numerical results validate the proposed approach.},
  author       = {Ferranti, Francesco and Chemmangat Manakkal Cheriya, Krishnan and Dhaene, Tom and Knockaert, Luc},
  booktitle    = {2013 17TH IEEE WORKSHOP ON SIGNAL AND POWER INTEGRITY (SPI)},
  isbn         = {9781467356794},
  keyword      = {IBCN},
  language     = {eng},
  location     = {Paris, France},
  pages        = {97--100},
  publisher    = {IEEE},
  title        = {Self-constructing compact parametric macromodels for efficient electronic design},
  year         = {2013},
}

Web of Science
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