System identification application using Hammerstein model


Ozer S., ZORLU H., Mete S.

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

  • Publication Type: Article / Article
  • Volume: 41 Issue: 6
  • Publication Date: 2016
  • Doi Number: 10.1007/s12046-016-0505-8
  • Title of Journal : SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES
  • Page Numbers: pp.597-605

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.