Nonlinear systems modeling & identification using higher order statistics/polyspectra

  • Hosam E. Emara-Shabaik*
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

4 Scopus citations

Abstract

Some important questions in modeling and identification of nonlinear dynamic systems are addressed. These questions deal with detecting nonlinear behavior in the system dynamics and the classification of the system model structures. Answers to these questions are provided in terms of third and fourth order cumulants, bispectrum and bicoherence of the system output only.

Original languageEnglish
Title of host publicationControl and Dynamic Systems
PublisherAcademic Press Inc.
Pages289-322
Number of pages34
EditionC
DOIs
StatePublished - 1996

Publication series

NameControl and Dynamic Systems
NumberC
Volume76
ISSN (Print)0090-5267

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Information Systems

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