Parametric convergence bounds of volterra-type nonlinear systems

Xingjian Jing, Z. Lang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

Abstract

Based on the bound characteristics of frequency response functions, 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, which are frequency-dependent, and then extended to multi-tone and general input cases, which are frequency-independent. 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.
Original languageEnglish
Pages (from-to)297-320
Number of pages24
JournalUnderstanding Complex Systems
Volume119
DOIs
Publication statusPublished - 1 Jan 2015

ASJC Scopus subject areas

  • Software
  • Computational Mechanics
  • Artificial Intelligence

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