Recursive Delta-Operator-Based Subspace Identification with Fixed Data Size

This paper proposes a recursive delta-operator-based subspace identification method with fixed data size. The majority of existing subspace identification methods are constrained to discrete-time systems because of the disparity in Hankel matrices. Additionally, due to the storage cost, LQ-factoriza...

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Main Authors: Miao Yu, Wanli Wang, Youyi Wang, Liang Liu
Format: Article
Language:English
Published: Wiley 2023-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2023/9998943
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author Miao Yu
Wanli Wang
Youyi Wang
Liang Liu
author_facet Miao Yu
Wanli Wang
Youyi Wang
Liang Liu
author_sort Miao Yu
collection DOAJ
description This paper proposes a recursive delta-operator-based subspace identification method with fixed data size. The majority of existing subspace identification methods are constrained to discrete-time systems because of the disparity in Hankel matrices. Additionally, due to the storage cost, LQ-factorization and singular value decomposition in identification methods are best suited for batch processing rather than online identification. The continuous-time systems are transformed into state space models based on the delta-operator to address these issues. These models approach the original systems when the sampling interval approaches zero. The size of the data matrices is fixed to reduce the computing load. By fading the impact of past data on future data, the amount of data storage can be decreased. The effectiveness of the proposed method is illustrated by the continuous stirred tank reactor system.
format Article
id doaj-art-2db564e54b6344d0b9d8d9965bc22bde
institution Kabale University
issn 1099-0526
language English
publishDate 2023-01-01
publisher Wiley
record_format Article
series Complexity
spelling doaj-art-2db564e54b6344d0b9d8d9965bc22bde2025-02-03T01:29:44ZengWileyComplexity1099-05262023-01-01202310.1155/2023/9998943Recursive Delta-Operator-Based Subspace Identification with Fixed Data SizeMiao Yu0Wanli Wang1Youyi Wang2Liang Liu3School of Control EngineeringSchool of Control EngineeringSchool of Control EngineeringCollege of Information Science and EngineeringThis paper proposes a recursive delta-operator-based subspace identification method with fixed data size. The majority of existing subspace identification methods are constrained to discrete-time systems because of the disparity in Hankel matrices. Additionally, due to the storage cost, LQ-factorization and singular value decomposition in identification methods are best suited for batch processing rather than online identification. The continuous-time systems are transformed into state space models based on the delta-operator to address these issues. These models approach the original systems when the sampling interval approaches zero. The size of the data matrices is fixed to reduce the computing load. By fading the impact of past data on future data, the amount of data storage can be decreased. The effectiveness of the proposed method is illustrated by the continuous stirred tank reactor system.http://dx.doi.org/10.1155/2023/9998943
spellingShingle Miao Yu
Wanli Wang
Youyi Wang
Liang Liu
Recursive Delta-Operator-Based Subspace Identification with Fixed Data Size
Complexity
title Recursive Delta-Operator-Based Subspace Identification with Fixed Data Size
title_full Recursive Delta-Operator-Based Subspace Identification with Fixed Data Size
title_fullStr Recursive Delta-Operator-Based Subspace Identification with Fixed Data Size
title_full_unstemmed Recursive Delta-Operator-Based Subspace Identification with Fixed Data Size
title_short Recursive Delta-Operator-Based Subspace Identification with Fixed Data Size
title_sort recursive delta operator based subspace identification with fixed data size
url http://dx.doi.org/10.1155/2023/9998943
work_keys_str_mv AT miaoyu recursivedeltaoperatorbasedsubspaceidentificationwithfixeddatasize
AT wanliwang recursivedeltaoperatorbasedsubspaceidentificationwithfixeddatasize
AT youyiwang recursivedeltaoperatorbasedsubspaceidentificationwithfixeddatasize
AT liangliu recursivedeltaoperatorbasedsubspaceidentificationwithfixeddatasize