An unscented Kalman filter under unknown input without direct feedthrough for joint input and system identification of structural systems

Wang, Shiyu; Lei, Ying

doi:10.1016/j.ymssp.2023.110951

Mechanical Systems and Signal Processing

2024

DOI: 10.1016/j.ymssp.2023.110951

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An unscented Kalman filter under unknown input without direct feedthrough for joint input and system identification of structural systems

Shiyu Wang,

Ying Lei

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Bayesian Input-State-Parameter Inference of Hydrodynamic Bearings: From Partial Displacement Measurements to Force Reconstruction

Dollon,

Ghorbani,

Gosselin

2024

Preprint

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Bayesian Input-State-Parameter Inference of Hydrodynamic Bearings: From Partial Displacement Measurements to Force Reconstruction

Dollon,

Ghorbani,

Gosselin

2024

Preprint

View full text Add to dashboard Cite

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An unscented Kalman filter under unknown input without direct feedthrough for joint input and system identification of structural systems

Cited by 1 publication

References 44 publications

Bayesian Input-State-Parameter Inference of Hydrodynamic Bearings: From Partial Displacement Measurements to Force Reconstruction

Bayesian Input-State-Parameter Inference of Hydrodynamic Bearings: From Partial Displacement Measurements to Force Reconstruction

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