System identification application using Hammerstein model

被引：15
作者：
Ozer, Saban [1 ]
Zorlu, Hasan [1 ]
Mete, Selcuk [2 ]
机构：
[1] Erciyes Univ, Dept Elect & Elect Engn, TR-38039 Kayseri, Turkey
[2] Turk Telekom AS, Kayseri Reg Off, TR-38070 Kayseri, Turkey
来源：
SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES | 2016年 / 41卷 / 06期
关键词：
System identification; nonlinear model; block-oriented model; Hammerstein model; RLS algorithm; NONLINEAR-SYSTEMS; BILINEAR-SYSTEMS; ALGORITHM;
D O I：
10.1007/s12046-016-0505-8
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
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.
引用
收藏
页码：597 / 605
页数：9
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