• DocumentCode
    26693
  • Title

    On the Passivity of Polynomial Chaos-Based Augmented Models for Stochastic Circuits

  • Author

    Manfredi, Paolo ; Vande Ginste, Dries ; De Zutter, Daniel ; Canavero, Flavio G.

  • Author_Institution
    Dipt. di Elettron. e Telecomun., Politec. di Torino, Turino, Italy
  • Volume
    60
  • Issue
    11
  • fYear
    2013
  • fDate
    Nov. 2013
  • Firstpage
    2998
  • Lastpage
    3007
  • Abstract
    This paper addresses for the first time the issue of passivity of the circuit models produced by means of the generalized polynomial chaos technique in combination with the stochastic Galerkin method. This approach has been used in literature to obtain statistical information through the simulation of an augmented but deterministic instance of a stochastic circuit, possibly including distributed transmission-line elements. However, transient simulations raise the critical question as to whether such an augmented network is passive or not. This paper discusses the general requirements for the augmented circuits to be passive and provides a sufficient condition for their passivity. Some numerical examples illustrate the theoretical results and conclude the paper.
  • Keywords
    Galerkin method; chaos; lumped parameter networks; polynomials; stochastic processes; transmission line theory; augmented circuits; distributed transmission-line elements; generalized polynomial chaos technique; passivity; polynomial chaos-based augmented models; statistical information; stochastic Galerkin method; stochastic circuit; transient simulations; Integrated circuit modeling; Mathematical model; Polynomials; Stochastic processes; Transmission line matrix methods; Transmission lines; Lumped circuits; passivity; polynomial chaos; stochastic analysis; transmission lines; uncertainty;
  • fLanguage
    English
  • Journal_Title
    Circuits and Systems I: Regular Papers, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1549-8328
  • Type

    jour

  • DOI
    10.1109/TCSI.2013.2256256
  • Filename
    6553598