Minimum variance unbiased Bayesian smoothing for input and state estimation of systems without direct Feedthrough: Mitigating Ill-Posedness of online load identification-Reference-Cited by-同舟云学术

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Minimum variance unbiased Bayesian smoothing for input and state estimation of systems without direct Feedthrough: Mitigating Ill-Posedness of online load identification

Published:2024-01 Issue: Volume:298 Page:117023
ISSN:0141-0296
Container-title:Engineering Structures
language:en
Short-container-title:Engineering Structures

Author:

Masanes Didyk Martin,Ebrahimzadeh Hassanabadi Mohsen,Makki Alamdari Mehrisadat,Eftekhar Azam Saeed

Funder

Australian Research Council

Publisher

Elsevier BV

Subject

Civil and Structural Engineering

Reference49 articles.

1. An augmented Kalman filter for force identification in structural dynamics;Lourens;Mech Syst Sig Process,2012

2. Impact force identification from wave propagation responses;Martin;Int J Impact Eng,1996

3. Sequential deconvolution input reconstruction;Bernal;Mech Syst Sig Process,2015

4. Vibration control of beams under moving loads using tuned mass inerter systems;Zhang;Eng Struct,2023

5. Dynamic analysis of an elastic half-plane soil medium with periodic wave barriers under a moving load;Ni;Eng Struct,2023

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Single accelerometer-based inter-story drift reconstruction of soft-story for shear structures with innovative transformation function;Mechanical Systems and Signal Processing;2025-01

2. Joint input-state estimation of structures subjected to complex loads via augmented Kalman Filter with physics informed latent force models;Mechanical Systems and Signal Processing;2025-01

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