Recursive principal component analysis for model order reduction with application in nonlinear Bayesian filtering

DOI10.1016/j.cma.2020.113334zbMath1506.62324OpenAlexW3074920181MaRDI QIDQ2021151

Mehrdad Arashpour, Mohsen Ebrahimzadeh Hassanabadi, Amin Heidarpour, Saeed Eftekhar Azam

Publication date: 26 April 2021

Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cma.2020.113334

zbMATH Keywords

system identificationmodel updatingnonlinear Bayesian filteronline model order reductionrecursive principal component analysis (RPCA)

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Factor analysis and principal components; correspondence analysis (62H25) Bayesian inference (62F15)

Related Items (1)

Nonlinear model updating through a hierarchical Bayesian modeling framework

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