UM
Real-Time System Identification: An Algorithm for Simultaneous Model Class Selection and Parametric Identification
Yuen K.-V.; Mu H.-Q.
2015
Source PublicationComputer-Aided Civil and Infrastructure Engineering
ISSN10939687
Volume30Issue:10Pages:785
AbstractIn this article, a novel Bayesian real-time system identification algorithm using response measurement is proposed for dynamical systems. In contrast to most existing structural identification methods which focus solely on parametric identification, the proposed algorithm emphasizes also model class selection. By embedding the novel model class selection component into the extended Kalman filter, the proposed algorithm is applicable to simultaneous model class selection and parametric identification in the real-time manner. Furthermore, parametric identification using the proposed algorithm is based on multiple model classes. Examples are presented with application to damage detection for degrading structures using noisy dynamic response measurement. ©2015 Computer-Aided Civil and Infrastructure Engineering.
DOI10.1111/mice.12146
URLView the original
Language英语
The Source to ArticleScopus
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Cited Times [WOS]:79   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionUniversity of Macau
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GB/T 7714
Yuen K.-V.,Mu H.-Q.. Real-Time System Identification: An Algorithm for Simultaneous Model Class Selection and Parametric Identification[J]. Computer-Aided Civil and Infrastructure Engineering,2015,30(10):785.
APA Yuen K.-V.,&Mu H.-Q..(2015).Real-Time System Identification: An Algorithm for Simultaneous Model Class Selection and Parametric Identification.Computer-Aided Civil and Infrastructure Engineering,30(10),785.
MLA Yuen K.-V.,et al."Real-Time System Identification: An Algorithm for Simultaneous Model Class Selection and Parametric Identification".Computer-Aided Civil and Infrastructure Engineering 30.10(2015):785.
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