System identification application using Hammerstein model


Ozer Ş., ZORLU H., Mete S.

SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES, vol.41, no.6, pp.597-605, 2016 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 41 Issue: 6
  • Publication Date: 2016
  • Doi Number: 10.1007/s12046-016-0505-8
  • Journal Name: SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.597-605
  • Keywords: System identification, nonlinear model, block-oriented model, Hammerstein model, RLS algorithm, NONLINEAR-SYSTEMS, BILINEAR-SYSTEMS, ALGORITHM
  • Kayseri University Affiliated: No

Abstract

Generally, memoryless polynomial nonlinear model for nonlinear part and finite impulse response (FIR) model or infinite impulse response model for linear part are preferred in Hammerstein models in literature. In this paper, system identification applications of Hammerstein model that is cascade of nonlinear second order volterra and linear FIR model are studied. Recursive least square algorithm is used to identify the proposed Hammerstein model parameters. Furthermore, the results are compared to identify the success of proposed Hammerstein model and different types of models.