Wiener-Hammerstein Model Identification-Recursive Algorithms

Hosam E.Emara Shabaik, Mohammed S. Ahmed, Khaled H. Al-Ajmi

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

Recursive algorithms for parameter estimation of Wiener-Hammerstein (W-H) models are developed. These algorithms are derived on the basis of minimizing cost functions of the output errors, the equation errors, and the prediction errors. Convergence conditions of the developed algorithms are established. Numerical results, to test the algorithms and illustrate their estimation accuracy, are given.

Original languageEnglish
Pages (from-to)606-613
Number of pages8
JournalJSME International Journal, Series C: Mechanical Systems, Machine Elements and Manufacturing
Volume45
Issue number2
DOIs
StatePublished - 2002

Keywords

  • Block-Cascade Models
  • Equation Error
  • Identification
  • Linear-Nonlinear-Linear Models
  • Nonlinear Models
  • Output Error
  • Parameter Estimation
  • Prediction Error
  • Recursive Algorithms
  • Wiener-Hammerstein Models

ASJC Scopus subject areas

  • Mechanical Engineering
  • Industrial and Manufacturing Engineering

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