The Hierarchical Iterative Identification Algorithm for Multi-Input-Output-Error Systems with Autoregressive Noise
Author
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-10-29
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
This paper considers the identification problem of multi-input-output-error autoregressive systems.
A hierarchical gradient based iterative (H-GI) algorithm and a hierarchical least squares based iterative (H-LSI) algorithm are presented by using the hierarchical identification principle.
A gradient based iterative (GI) algorithm and a least squares based iterative (LSI) algorithm are presented for comparison.
The simulation results indicate that the H-LSI algorithm can obtain more accurate parameter estimates than the LSI algorithm, and the H-GI algorithm converges faster than the GI algorithm.
American Psychological Association (APA)
Ding, Jiling. 2017. The Hierarchical Iterative Identification Algorithm for Multi-Input-Output-Error Systems with Autoregressive Noise. Complexity،Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1143033
Modern Language Association (MLA)
Ding, Jiling. The Hierarchical Iterative Identification Algorithm for Multi-Input-Output-Error Systems with Autoregressive Noise. Complexity No. 2017 (2017), pp.1-11.
https://search.emarefa.net/detail/BIM-1143033
American Medical Association (AMA)
Ding, Jiling. The Hierarchical Iterative Identification Algorithm for Multi-Input-Output-Error Systems with Autoregressive Noise. Complexity. 2017. Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1143033
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1143033