View in EDS

Robust Hierarchical Identification of Hammerstein Systems With Latent Time‐Delay.

Saved in:

Bibliographic Details
Title:	Robust Hierarchical Identification of Hammerstein Systems With Latent Time‐Delay.
Authors:	Mao, Yawen¹ (AUTHOR) myw0530@163.com, Pan, Yaofei¹ (AUTHOR), Xu, Chen² (AUTHOR), Tan, Zhihao¹ (AUTHOR), Chen, Yifan¹ (AUTHOR), Ruan, Leyan¹ (AUTHOR), Sun, Zeyu¹ (AUTHOR)
Source:	International Journal of Robust & Nonlinear Control. 7/25/2026, Vol. 36 Issue 11, p5766-5783. 18p.
Subjects:	Least squares, Time delay estimation, Robust statistics, Outlier detection, Parameter estimation, Adaptive signal processing, Algorithms, Nonlinear systems
Abstract:	In order to identify a class of Hammerstein systems characterized by latent time‐delay based on the data containing outliers, a robust identification method called hierarchical re‐weighted least angle regression‐least squares (RW‐LAR‐LS) algorithm is proposed. First, a decomposition based LAR algorithm is proposed to efficiently and accurately determine the time‐delay by introducing the largest input regression length. Then, a matrix whose elements are adaptively adjusted by the designed rule is integrated into the LS algorithm to reduce the impact of outliers, achieving highly accurate parameter estimates. The proposed RW‐LAR‐LS algorithm is efficient and more robust to the outliers and has better parameter and delay estimation performance compared to the over‐parameterized LS algorithm and the LAR‐LS algorithm. A numerical example and a heat exchange system are provided to demonstrate the effectiveness of the proposed algorithm. [ABSTRACT FROM AUTHOR]
	Copyright of International Journal of Robust & Nonlinear Control is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database:	Engineering Source

Description
Abstract:	In order to identify a class of Hammerstein systems characterized by latent time‐delay based on the data containing outliers, a robust identification method called hierarchical re‐weighted least angle regression‐least squares (RW‐LAR‐LS) algorithm is proposed. First, a decomposition based LAR algorithm is proposed to efficiently and accurately determine the time‐delay by introducing the largest input regression length. Then, a matrix whose elements are adaptively adjusted by the designed rule is integrated into the LS algorithm to reduce the impact of outliers, achieving highly accurate parameter estimates. The proposed RW‐LAR‐LS algorithm is efficient and more robust to the outliers and has better parameter and delay estimation performance compared to the over‐parameterized LS algorithm and the LAR‐LS algorithm. A numerical example and a heat exchange system are provided to demonstrate the effectiveness of the proposed algorithm. [ABSTRACT FROM AUTHOR]
ISSN:	10498923
DOI:	10.1002/rnc.70546