• DocumentCode
    78300
  • Title

    Parameterized Convergence Bounds for Volterra Series Expansion of NARX Models

  • Author

    Zhenlong Xiao ; XingJian Jing ; Li Cheng

  • Author_Institution
    Dept. of Mech. Eng., Hong Kong Polytech. Univ., Hong Kong, China
  • Volume
    61
  • Issue
    20
  • fYear
    2013
  • fDate
    Oct.15, 2013
  • Firstpage
    5026
  • Lastpage
    5038
  • Abstract
    Evaluation of the convergence bound in the frequency domain for Volterra series expansion of nonlinear systems described by NARX models is studied. This provides new convergence criteria under which the nonlinear system of interest has a convergent Volterra series expansion, and the new criteria are expressed explicitly in terms of the input magnitude, model parameters, and frequency variable. The new convergence criteria are firstly developed for harmonic inputs and then extended to multi-tone and general input cases. Based on the theoretical analysis, a general procedure for calculating the convergence bound is provided. The results provide a fundamental basis for nonlinear signal processing using the Volterra series theory.
  • Keywords
    Volterra series; autoregressive processes; frequency-domain analysis; nonlinear filters; NARX model; Volterra series theory; convergent Volterra series expansion; frequency domain; multitone case; nonlinear autoregressive with exogenous input mode; nonlinear signal processing; nonlinear system; parameterized convergence bound; vergence criteria; Analytical models; Computational modeling; Convergence; Educational institutions; Frequency-domain analysis; Harmonic analysis; Nonlinear systems; Convergence criteria; NARX models; Volterra series; frequency domain;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/TSP.2013.2277838
  • Filename
    6576853