System identification application using Hammerstein model

ÖZER, Şaban; ZORLU, HASAN; Mete, Selcuk

doi:10.1007/s12046-016-0505-8

System identification application using Hammerstein model

Atıf İçin Kopyala

ÖZER Ş., ZORLU H., Mete S.

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

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
Erciyes Üniversitesi Adresli: Evet

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.