System identification application using Hammerstein model

Ozer Ş., ZORLU H., Mete S.

SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES, cilt.41, sa.6, ss.597-605, 2016 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 41 Sayı: 6
  • Basım Tarihi: 2016
  • Doi Numarası: 10.1007/s12046-016-0505-8
  • Dergi Adı: SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.597-605
  • Anahtar Kelimeler: System identification, nonlinear model, block-oriented model, Hammerstein model, RLS algorithm, NONLINEAR-SYSTEMS, BILINEAR-SYSTEMS, ALGORITHM
  • Kayseri Üniversitesi Adresli: Hayır

Özet

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.