Data Filtering Based Recursive Least Squares Algorithm for Two-Input Single-Output Systems with Moving Average Noises

This paper studies identification problems of two-input single-output controlled autoregressive moving average systems by using an estimated noise transfer function to filter the input-output data. Through data filtering, we obtain two simple identification models, one containing the parameters of t...

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Main Authors: Xianling Lu, Wei Zhou, Wenlin Shi
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2014/694053
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author Xianling Lu
Wei Zhou
Wenlin Shi
author_facet Xianling Lu
Wei Zhou
Wenlin Shi
author_sort Xianling Lu
collection DOAJ
description This paper studies identification problems of two-input single-output controlled autoregressive moving average systems by using an estimated noise transfer function to filter the input-output data. Through data filtering, we obtain two simple identification models, one containing the parameters of the system model and the other containing the parameters of the noise model. Furthermore, we deduce a data filtering based recursive least squares method for estimating the parameters of these two identification models, respectively, by replacing the unmeasurable variables in the information vectors with their estimates. The proposed algorithm has high computational efficiency because the dimensions of its covariance matrices become small. The simulation results indicate that the proposed algorithm is effective.
format Article
id doaj-art-1d823e576d3443e8ade5874c46d3fe49
institution Kabale University
issn 1110-757X
1687-0042
language English
publishDate 2014-01-01
publisher Wiley
record_format Article
series Journal of Applied Mathematics
spelling doaj-art-1d823e576d3443e8ade5874c46d3fe492025-02-03T01:24:13ZengWileyJournal of Applied Mathematics1110-757X1687-00422014-01-01201410.1155/2014/694053694053Data Filtering Based Recursive Least Squares Algorithm for Two-Input Single-Output Systems with Moving Average NoisesXianling Lu0Wei Zhou1Wenlin Shi2Key Laboratory of Advanced Process Control for Light Industry, Ministry of Education, Jiangnan University, Wuxi 214122, ChinaSchool of Internet of Things Engineering, Jiangnan University, Wuxi 214122, ChinaSchool of Internet of Things Engineering, Jiangnan University, Wuxi 214122, ChinaThis paper studies identification problems of two-input single-output controlled autoregressive moving average systems by using an estimated noise transfer function to filter the input-output data. Through data filtering, we obtain two simple identification models, one containing the parameters of the system model and the other containing the parameters of the noise model. Furthermore, we deduce a data filtering based recursive least squares method for estimating the parameters of these two identification models, respectively, by replacing the unmeasurable variables in the information vectors with their estimates. The proposed algorithm has high computational efficiency because the dimensions of its covariance matrices become small. The simulation results indicate that the proposed algorithm is effective.http://dx.doi.org/10.1155/2014/694053
spellingShingle Xianling Lu
Wei Zhou
Wenlin Shi
Data Filtering Based Recursive Least Squares Algorithm for Two-Input Single-Output Systems with Moving Average Noises
Journal of Applied Mathematics
title Data Filtering Based Recursive Least Squares Algorithm for Two-Input Single-Output Systems with Moving Average Noises
title_full Data Filtering Based Recursive Least Squares Algorithm for Two-Input Single-Output Systems with Moving Average Noises
title_fullStr Data Filtering Based Recursive Least Squares Algorithm for Two-Input Single-Output Systems with Moving Average Noises
title_full_unstemmed Data Filtering Based Recursive Least Squares Algorithm for Two-Input Single-Output Systems with Moving Average Noises
title_short Data Filtering Based Recursive Least Squares Algorithm for Two-Input Single-Output Systems with Moving Average Noises
title_sort data filtering based recursive least squares algorithm for two input single output systems with moving average noises
url http://dx.doi.org/10.1155/2014/694053
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AT weizhou datafilteringbasedrecursiveleastsquaresalgorithmfortwoinputsingleoutputsystemswithmovingaveragenoises
AT wenlinshi datafilteringbasedrecursiveleastsquaresalgorithmfortwoinputsingleoutputsystemswithmovingaveragenoises