Adaptive Gradient-Based Iterative Algorithm for Multivariable Controlled Autoregressive Moving Average Systems Using the Data Filtering Technique
Joint Authors
Pan, Jian
Ma, Hao
Jiang, Xiao
Ding, Wenfang
Ding, Feng
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-07-24
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
The identification problem of multivariable controlled autoregressive systems with measurement noise in the form of the moving average process is considered in this paper.
The key is to filter the input–output data using the data filtering technique and to decompose the identification model into two subidentification models.
By using the negative gradient search, an adaptive data filtering-based gradient iterative (F-GI) algorithm and an F-GI with finite measurement data are proposed for identifying the parameters of multivariable controlled autoregressive moving average systems.
In the numerical example, we illustrate the effectiveness of the proposed identification methods.
American Psychological Association (APA)
Pan, Jian& Ma, Hao& Jiang, Xiao& Ding, Wenfang& Ding, Feng. 2018. Adaptive Gradient-Based Iterative Algorithm for Multivariable Controlled Autoregressive Moving Average Systems Using the Data Filtering Technique. Complexity،Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1136823
Modern Language Association (MLA)
Pan, Jian…[et al.]. Adaptive Gradient-Based Iterative Algorithm for Multivariable Controlled Autoregressive Moving Average Systems Using the Data Filtering Technique. Complexity No. 2018 (2018), pp.1-11.
https://search.emarefa.net/detail/BIM-1136823
American Medical Association (AMA)
Pan, Jian& Ma, Hao& Jiang, Xiao& Ding, Wenfang& Ding, Feng. Adaptive Gradient-Based Iterative Algorithm for Multivariable Controlled Autoregressive Moving Average Systems Using the Data Filtering Technique. Complexity. 2018. Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1136823
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1136823