The unscented Kalman filter and particle filter methods for nonlinear structural system identification with non-collocated heterogeneous sensing

Eleni N. Chatzi; Andrew W. Smyth

doi:10.1002/stc.290

The unscented Kalman filter and particle filter methods for nonlinear structural system identification with non-collocated heterogeneous sensing

Structural Control and Health Monitoring ◽

10.1002/stc.290 ◽

2009 ◽

Vol 16 (1) ◽

pp. 99-123 ◽

Cited By ~ 210

Author(s):

Eleni N. Chatzi ◽

Andrew W. Smyth

Keyword(s):

Kalman Filter ◽

System Identification ◽

Particle Filter ◽

Unscented Kalman Filter ◽

Structural System ◽

Nonlinear Structural ◽

Filter Methods ◽

Structural System Identification

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Application of the unscented Kalman filter for real-time nonlinear structural system identification

Structural Control and Health Monitoring ◽

10.1002/stc.186 ◽

2007 ◽

Vol 14 (7) ◽

pp. 971-990 ◽

Cited By ~ 169

Author(s):

Meiliang Wu ◽

Andrew W. Smyth

Keyword(s):

Kalman Filter ◽

System Identification ◽

Real Time ◽

Unscented Kalman Filter ◽

Structural System ◽

Nonlinear Structural ◽

Structural System Identification

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The Particle Filter and Extended Kalman Filter methods for the structural system identification considering various uncertainties

Numerical Methods in Civil Engineering ◽

10.52547/nmce.4.3.42 ◽

2020 ◽

Vol 4 (3) ◽

pp. 42-58

Author(s):

M. Ebrahimi ◽

R. Karami Mohammadi ◽

F. Sharafi ◽

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Keyword(s):

Kalman Filter ◽

System Identification ◽

Particle Filter ◽

Extended Kalman Filter ◽

Structural System ◽

Filter Methods ◽

Structural System Identification

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Real-time nonlinear structural system identification via iterated unscented Kalman filter

Mechanical Systems and Signal Processing ◽

10.1016/j.ymssp.2011.02.005 ◽

2012 ◽

Vol 28 ◽

pp. 309-322 ◽

Cited By ~ 59

Author(s):

Zongbo Xie ◽

Jiuchao Feng

Keyword(s):

Kalman Filter ◽

System Identification ◽

Real Time ◽

Unscented Kalman Filter ◽

Structural System ◽

Nonlinear Structural ◽

Structural System Identification

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Advances in method of time-varying linear/nonlinear structural system identification and parameter estimate

Chinese Science Bulletin (Chinese Version) ◽

10.1360/972008-2471 ◽

2009 ◽

Vol 54 (20) ◽

pp. 3147-3156 ◽

Cited By ~ 6

Author(s):

ShiWei ZHAO Jie PANG ◽

婕赵 ◽

KaiPing YU

Keyword(s):

System Identification ◽

Parameter Estimate ◽

Time Varying ◽

Structural System ◽

Nonlinear Structural ◽

Structural System Identification

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Nonlinear structural system identification

10.14711/thesis-b556249 ◽

1997 ◽

Author(s):

Lai Ah Wong

Keyword(s):

System Identification ◽

Structural System ◽

Nonlinear Structural ◽

Structural System Identification

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Batch and Recursive Bayesian Estimation Methods for Nonlinear Structural System Identification

Springer Series in Reliability Engineering - Risk and Reliability Analysis: Theory and Applications ◽

10.1007/978-3-319-52425-2_15 ◽

2017 ◽

pp. 341-364

Author(s):

Rodrigo Astroza ◽

Hamed Ebrahimian ◽

Joel P. Conte

Keyword(s):

System Identification ◽

Bayesian Estimation ◽

Estimation Methods ◽

Structural System ◽

Nonlinear Structural ◽

Recursive Bayesian Estimation ◽

Structural System Identification ◽

Recursive Bayesian

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A Kalman filter based strategy for linear structural system identification based on multiple static and dynamic test data

Probabilistic Engineering Mechanics ◽

10.1016/j.probengmech.2008.01.001 ◽

2009 ◽

Vol 24 (1) ◽

pp. 60-74 ◽

Cited By ~ 21

Author(s):

R. Tipireddy ◽

H.A. Nasrellah ◽

C.S. Manohar

Keyword(s):

Kalman Filter ◽

System Identification ◽

Test Data ◽

Dynamic Test ◽

Structural System ◽

Structural System Identification

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Output-only structural system identification method with a new two-stage Kalman filter and incomplete measurement

10.1117/12.2010507 ◽

2013 ◽

Author(s):

Y. Ding ◽

B. Y. Zhao ◽

B. Wu

Keyword(s):

Kalman Filter ◽

System Identification ◽

Structural System ◽

Two Stage ◽

System Identification Method ◽

Identification Method ◽

Incomplete Measurement ◽

Output Only ◽

Structural System Identification

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Adaptive constrained unscented Kalman filtering for real-time nonlinear structural system identification

Structural Control and Health Monitoring ◽

10.1002/stc.2084 ◽

2017 ◽

Vol 25 (2) ◽

pp. e2084 ◽

Cited By ~ 18

Author(s):

Andrea Calabrese ◽

Salvatore Strano ◽

Mario Terzo

Keyword(s):

System Identification ◽

Real Time ◽

Kalman Filtering ◽

Structural System ◽

Nonlinear Structural ◽

Structural System Identification

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Displacement measurement and nonlinear structural system identification: A vision‐based approach with camera motion correction using planar structures

Structural Control and Health Monitoring ◽

10.1002/stc.2761 ◽

2021 ◽

Author(s):

Jian Jiao ◽

Jia Guo ◽

Kohei Fujita ◽

Izuru Takewaki

Keyword(s):

System Identification ◽

Motion Correction ◽

Displacement Measurement ◽

Camera Motion ◽

Structural System ◽

Planar Structures ◽

Nonlinear Structural ◽

Structural System Identification

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