Comparison of Constrained Unscented and Cubature Kalman Filters for Nonlinear System Parameter Identification-Reference-Cited by-同舟云学术

Comparison of Constrained Unscented and Cubature Kalman Filters for Nonlinear System Parameter Identification

Published:2023-11 Issue:11 Volume:149 Page:
ISSN:0733-9399
Container-title:Journal of Engineering Mechanics
language:en
Short-container-title:J. Eng. Mech.

Author:

Cao Jixing¹,Quek Ser-Tong²^ORCID,Xiong Haibei³,Yang Zhenyu⁴

Affiliation:

1. Research Fellow, National Key Laboratory of Water Disaster Prevention, Hohai Univ., Nanjing 210024, China; Research Fellow, Dept. of Civil and Environmental Engineering, National Univ. of Singapore, Singapore 117576 (corresponding author).

2. Professor, Dept. of Civil and Environmental Engineering, National Univ. of Singapore, Singapore 117576. ORCID: .

3. Professor, Dept. of Disaster Mitigation for Structures, Tongji Univ., Shanghai 200092, China.

4. Assistant Professor, Earthquake Engineering Research and Test Center, Guangzhou Univ., Waihuan W. Rd., Guangzhou 510006, China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Mechanical Engineering,Mechanics of Materials

Link

https://ascelibrary.org/doi/pdf/10.1061/JENMDT.EMENG-7091

Reference35 articles.

1. Modal parameter identification and vibration based damage detection of a multiple cracked cantilever beam

2. Cubature Kalman Filters

3. Cubature Kalman Filtering for Continuous-Discrete Systems: Theory and Simulations

4. A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking

5. An adaptive unscented Kalman filter for tracking sudden stiffness changes

Cited by 31 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. Predicting natural vibration period of concrete frame structures having masonry infill using machine learning techniques;Journal of Building Engineering;2024-11

2. Experimental and data-driven prediction for the impact of free/bond lengths of element specimen on interface characterization of ground anchors;Ocean Engineering;2024-10

3. Novel base predictive model of resilient modulus of compacted subgrade soils by using interpretable approaches with graphical user interface;Materials Today Communications;2024-08

4. Predicting the compressive strength of advanced concrete structures by developed African vulture optimization algorithm-Elman neural networks;Mechanics of Advanced Materials and Structures;2024-07-11

5. On the dynamics of the elastic concrete systems reinforced by advanced nanocomposites;Mechanics of Advanced Materials and Structures;2024-07-09