Frequency-dependent magnitude bounds of the generalized frequency response functions for NARX model

Xingjian Jing, Zi Qiang Lang, Stephen A. Billings

Research output: Journal article publicationJournal articleAcademic researchpeer-review

6 Citations (Scopus)

Abstract

New magnitude bounds of the frequency response functions for the Nonlinear AutoRegressive model with eXogenous input (NARX) are investigated by exploiting the symmetry of the nth-order generalized frequency response function (GFRF) in its n frequency variables. The new magnitude bound of the nth-order symmetric GFRF is frequency-dependent, and is a polynomial function of the magnitude of the first order GFRF. The coefficients of this polynomial function are functions of model parameters. Based on this result, the system output spectrum can also be bounded by an analytical polynomial function of the magnitude of the first order GFRF. The conservatism in the bound evaluations is reduced compared with previous results. Several examples and necessary discussions illustrate the potential application and effectiveness of the new results.
Original languageEnglish
Pages (from-to)68-83
Number of pages16
JournalEuropean Journal of Control
Volume15
Issue number1
DOIs
Publication statusPublished - 1 Jan 2009
Externally publishedYes

Keywords

  • Frequency-domain analysis
  • Generalized frequency response function (GFRF)
  • NARX
  • Nonlinear systems
  • Volterra series

ASJC Scopus subject areas

  • Engineering(all)

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