Data-driven Bayesian inference for stochastic model identification of nonlinear aeroelastic systems
AIAA JOURNAL
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American Institute of Aeronautics and Astronautics
2024
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sg-nus-scholar.10635-2467062024-01-15T06:13:02Z Data-driven Bayesian inference for stochastic model identification of nonlinear aeroelastic systems McGurk, Michael Lye, Adolphus Renson, Ludovic Yuan, Jie S'PORE NUCLEAR RSCH & SAFETY INITIATIVE AIAA JOURNAL 2024-01-15T06:09:37Z 2024-01-15T06:09:37Z 2024-01-15 2024-01-15T05:33:36Z Article McGurk, Michael, Lye, Adolphus, Renson, Ludovic, Yuan, Jie (2024-01-15). Data-driven Bayesian inference for stochastic model identification of nonlinear aeroelastic systems. AIAA JOURNAL. ScholarBank@NUS Repository. 0001-1452 https://scholarbank.nus.edu.sg/handle/10635/246706 American Institute of Aeronautics and Astronautics Elements |
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S'PORE NUCLEAR RSCH & SAFETY INITIATIVE |
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S'PORE NUCLEAR RSCH & SAFETY INITIATIVE McGurk, Michael Lye, Adolphus Renson, Ludovic Yuan, Jie |
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Article |
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McGurk, Michael Lye, Adolphus Renson, Ludovic Yuan, Jie |
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McGurk, Michael Lye, Adolphus Renson, Ludovic Yuan, Jie Data-driven Bayesian inference for stochastic model identification of nonlinear aeroelastic systems |
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McGurk, Michael |
title |
Data-driven Bayesian inference for stochastic model identification of nonlinear aeroelastic systems |
title_short |
Data-driven Bayesian inference for stochastic model identification of nonlinear aeroelastic systems |
title_full |
Data-driven Bayesian inference for stochastic model identification of nonlinear aeroelastic systems |
title_fullStr |
Data-driven Bayesian inference for stochastic model identification of nonlinear aeroelastic systems |
title_full_unstemmed |
Data-driven Bayesian inference for stochastic model identification of nonlinear aeroelastic systems |
title_sort |
data-driven bayesian inference for stochastic model identification of nonlinear aeroelastic systems |
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American Institute of Aeronautics and Astronautics |
publishDate |
2024 |
url |
https://scholarbank.nus.edu.sg/handle/10635/246706 |
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1789482847395905536 |