Subspace Identification for Fractional Order Hammerstein Systems Based on Instrumental Variables

被引：61
|
作者：
Liao, Zeng [1 ,2 ]
Zhu, Zhuting [1 ]
Liang, Shu [1 ]
Peng, Cheng [1 ]
Wang, Yong [1 ]
机构：
[1] Univ Sci & Technol China, Dept Automat, Hefei 230026, Anhui, Peoples R China
[2] Peoples Liberat Army 63818, Xichang, Sichuan, Peoples R China
来源：
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS | 2012年 / 10卷 / 05期
关键词：
Fractional order Hammerstein systems; instrumental variables; subspace identification; MODEL;
D O I：
10.1007/s12555-012-0511-5
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper focuses on time-domain identification issues of multi-input multi-output (MIMO) fractional order Hammerstein systems which are the extension of traditional Hammerstein type models by allowing linear part to be fractional order systems. The principal component analysis (PCA) method in subspace family is extended to identify coefficient matrixes of fractional order systems. Singular value decomposition (SVD) is utilized to estimate the unknown parameters of nonlinear part of system directly. A proper instrumental variable is chosen to eliminate the bias of identification results. Numerical simulation validates the proposed method.
引用
收藏
页码：947 / 953
页数：7
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