Force localization and reconstruction based on a novel sparse Kalman filter
Author:
Publisher
Elsevier BV
Subject
Computer Science Applications,Mechanical Engineering,Aerospace Engineering,Civil and Structural Engineering,Signal Processing,Control and Systems Engineering
Reference53 articles.
1. A numerical framework for load identification and regularization with application to rolling disc problem;Ronasi;Comput. Struct.,2011
2. A revised time domain force identification method based on Bayesian formulation;Li;Int. J. Numer. Meth. Eng.,2019
3. Sparse regularization for force identification using dictionaries;Qiao;J. Sound Vib.,2016
4. A novel computational inverse technique for load identification using the shape function method of moving least square fitting;Liu;Comput. Struct.,2014
5. Simultaneous identification of bridge structural parameters and vehicle loads;Feng;Comput. Struct.,2015
Cited by 32 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. 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
2. A Bayesian framework for discovering interpretable Lagrangian of dynamical systems from data;Mechanical Systems and Signal Processing;2024-12
3. A novel residual-based Bayesian expectation–maximization adaptive Kalman filter with inaccurate and time-varying noise covariances;Measurement;2024-08
4. Deep learning-based identification of vehicular moving forces for bridges without axle configurations;Engineering Structures;2024-04
5. An output-only unbiased minimum variance state estimator for linear systems;Mechanical Systems and Signal Processing;2024-04
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3