Real-Time System Identification: An Algorithm for Simultaneous Model Class Selection and Parametric Identification | |
Yuen K.-V.; Mu H.-Q. | |
2015 | |
Source Publication | Computer-Aided Civil and Infrastructure Engineering
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ISSN | 10939687 |
Volume | 30Issue:10Pages:785 |
Abstract | In 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. |
DOI | 10.1111/mice.12146 |
URL | View the original |
Language | 英语 |
The Source to Article | Scopus |
Fulltext Access | |
Citation statistics | |
Document Type | Journal article |
Collection | University of Macau |
Recommended Citation 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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