Structure identification of a class of non-linear systems using correlation and bispectrum approaches

Hosam E. Emara-Shabaik, Kamal A.F. Moustafa, Jaleel H.S. Talaq

Research output: Contribution to journalConference articlepeer-review

3 Citations (Scopus)

Abstract

The class of nonlinear systems studied in this paper is assumed to be modeled by block-cascades. Such cascades are composed of a dynamic linear block (L) in cascade with a zero-memory nonlinear block (N) followed by another dynamic linear block (L). This class of models is extensively used to represent nonlinear dynamic systems and is known in the literature as Wiener-Hammerstein models. Using a zero-mean stationary white Gaussian process as an input to such models, a structure identification criterion is developed based on the bispectrum and bicoherence of the output sequence only. A comparison between the developed criterion and other cross-correlation based criterion is given.

Original languageEnglish
Pages (from-to)246-250
Number of pages5
JournalIEE Conference Publication
Issue number427 /1
Publication statusPublished - Dec 1 1996
Externally publishedYes
EventProceedings of the 1996 UKACC International Conference on Control. Part 1 (of 2) - Exeter, UK
Duration: Sep 2 1996Sep 5 1996

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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