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Status已发表Published
TitleImproved system identification with Renormalization Group
Creator
Date Issued2014
Source PublicationISA Transactions
ISSN0019-0578
Volume53Issue:5Pages:1481-1488
Abstract

This paper proposes an improved system identification method with Renormalization Group. Renormalization Group is applied to a fine data set to obtain a coarse data set. The least squares algorithm is performed on the coarse data set. The theoretical analysis under certain conditions shows that the parameter estimation error could be reduced. The proposed method is illustrated with examples. © 2013 ISA. Published by Elsevier Ltd. All rights reserved.

KeywordGroup Least squares estimate Renormalization System identification
DOI10.1016/j.isatra.2013.10.003
URLView source
Indexed BySCIE
Language英语English
WOS Research AreaAutomation & Control Systems ; Engineering ; Instruments & Instrumentation
WOS SubjectAutomation & Control Systems ; Engineering, Multidisciplinary ; Instruments & Instrumentation
WOS IDWOS:000344127800017
PublisherISA - Instrumentation, Systems, and Automation Society
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
Identifierhttp://repository.uic.edu.cn/handle/39GCC9TT/4326
CollectionResearch outside affiliated institution
Affiliation
1.Department of Electrical and Computer Engineering, National University of Singapore, Singapore, 117576, Singapore
2.Qiming Venture Partners, Shanghai, 200121, China
Recommended Citation
GB/T 7714
Wang, Qingguo,Yu, Chao,Zhang, Yong. Improved system identification with Renormalization Group[J]. ISA Transactions, 2014, 53(5): 1481-1488.
APA Wang, Qingguo, Yu, Chao, & Zhang, Yong. (2014). Improved system identification with Renormalization Group. ISA Transactions, 53(5), 1481-1488.
MLA Wang, Qingguo,et al."Improved system identification with Renormalization Group". ISA Transactions 53.5(2014): 1481-1488.
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