Non-parametric identification of generalized Hammerstein models

Hosam E. Emara-Shabaik, Kamal A.F. Moustafa

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


The Hammerstein model is considered in a generalized form, where its nonlinear element can have multi-inputs and a finite memory. The identification of the multi-input finite memory nonimearity and the impulse response sequence of the model is treated using a non-parametric approach. A numerical example is given. The identification results of the example illustrate the effectiveness of the developed technique.

Original languageEnglish
Pages (from-to)91-93
Number of pages3
JournalInternational Journal of Systems Science
Issue number1
Publication statusPublished - Jan 1998
Externally publishedYes

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Theoretical Computer Science
  • Computer Science Applications


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