• DocumentCode
    574385
  • Title

    The Conjugate Unscented Transform — An approach to evaluate multi-dimensional expectation integrals

  • Author

    Adurthi, Nagavenkat ; Singla, Parveen ; Singh, Taranveer

  • Author_Institution
    Univ. at Buffalo, The State Univ. of New York, Amherst, NY, USA
  • fYear
    2012
  • fDate
    27-29 June 2012
  • Firstpage
    5556
  • Lastpage
    5561
  • Abstract
    This paper presents an extension to the unscented transformation to evaluate expectation integrals in general N-dimensional space by satisfying higher order moment equations. New sets of sigma points are defined to satisfy moment equations up to eighth order. The proposed methodology can be used as an efficient alternative to Gaussian quadrature rule with significantly reduced number of function evaluations but without any loss in accuracy. Numerical simulation results illustrates the effectiveness of the proposed methodology in computing high dimension expectation integrals with significantly reduced number of function evaluations.
  • Keywords
    Gaussian processes; integration; multidimensional systems; transforms; Gaussian quadrature rule; conjugate unscented transform; function evaluations; general n-dimensional space; higher order moment equations; multidimensional expectation integral evaluation; Approximation methods; Integral equations; Manganese; Mathematical model; Polynomials; Transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2012
  • Conference_Location
    Montreal, QC
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4577-1095-7
  • Electronic_ISBN
    0743-1619
  • Type

    conf

  • DOI
    10.1109/ACC.2012.6314970
  • Filename
    6314970