Novel Unscented Kalman Filter for Health Assessment of Structural Systems with Unknown Input
Author:
Affiliation:
1. Doctoral Student, Dept. of Civil Engineering and Engineering Mechanics, Univ. of Arizona, Tucson, AZ 85721.
2. Professor, Dept. of Civil Engineering and Engineering Mechanics, Univ. of Arizona, Tucson, AZ 85721 (corresponding author).
Publisher
American Society of Civil Engineers (ASCE)
Subject
Mechanical Engineering,Mechanics of Materials
Link
http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29EM.1943-7889.0000926
Reference29 articles.
1. ANSYS 14.0 [Computer software]. Canonsburg PA Engineering Solutions.
2. ASCE. (2013). “Report card for America’s infrastructure.” 〈http://www.infrastructurereportcard.org〉 (Nov. 11 2013).
3. The unscented Kalman filter and particle filter methods for nonlinear structural system identification with non-collocated heterogeneous sensing
4. Experimental application of on-line parametric identification for nonlinear hysteretic systems with model uncertainty
Cited by 43 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. An adaptive generalized extended Kalman filter for real-time identification of structural systems, state and input based on sparse measurement;Nonlinear Dynamics;2024-02-06
2. An unscented Kalman filter under unknown input without direct feedthrough for joint input and system identification of structural systems;Mechanical Systems and Signal Processing;2024-02
3. Synchronous identification of nonlinear structural parameters and unknown external excitation based on improved UKF;Engineering Structures;2024-01
4. Time‐varying reliability analysis based on hybrid Kalman filtering and probability density evolution;Earthquake Engineering & Structural Dynamics;2023-12-22
5. Heating and cooling supply estimation to control buildings temperature using resistor-capacitor thermal model, unscented kalman filter, and nonlinear least square method;Building Services Engineering Research and Technology;2023-12-14
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