WH-EA: An Evolutionary Algorithm for Wiener-Hammerstein System Identification
Joint Authors
Zambrano, J.
Sanchis, J.
Herrero, J. M.
Martínez, M.
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-02-20
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Abstract EN
Current methods to identify Wiener-Hammerstein systems using Best Linear Approximation (BLA) involve at least two steps.
First, BLA is divided into obtaining front and back linear dynamics of the Wiener-Hammerstein model.
Second, a refitting procedure of all parameters is carried out to reduce modelling errors.
In this paper, a novel approach to identify Wiener-Hammerstein systems in a single step is proposed.
This approach is based on a customized evolutionary algorithm (WH-EA) able to look for the best BLA split, capturing at the same time the process static nonlinearity with high precision.
Furthermore, to correct possible errors in BLA estimation, the locations of poles and zeros are subtly modified within an adequate search space to allow a fine-tuning of the model.
The performance of the proposed approach is analysed by using a demonstration example and a nonlinear system identification benchmark.
American Psychological Association (APA)
Zambrano, J.& Sanchis, J.& Herrero, J. M.& Martínez, M.. 2018. WH-EA: An Evolutionary Algorithm for Wiener-Hammerstein System Identification. Complexity،Vol. 2018, no. 2018, pp.1-17.
https://search.emarefa.net/detail/BIM-1132987
Modern Language Association (MLA)
Zambrano, J.…[et al.]. WH-EA: An Evolutionary Algorithm for Wiener-Hammerstein System Identification. Complexity No. 2018 (2018), pp.1-17.
https://search.emarefa.net/detail/BIM-1132987
American Medical Association (AMA)
Zambrano, J.& Sanchis, J.& Herrero, J. M.& Martínez, M.. WH-EA: An Evolutionary Algorithm for Wiener-Hammerstein System Identification. Complexity. 2018. Vol. 2018, no. 2018, pp.1-17.
https://search.emarefa.net/detail/BIM-1132987
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1132987