System Identification with Limited Observations and without Input
System Identification with Limited Observations and without Input
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DOI：
10.1061/(asce)0733-9399(1997)123:5(504
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发表时间：
1997-05
期刊：
影响因子：
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通讯作者：
Duan Wang;A. Haldar
中科院分区：
文献类型：
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作者：
Duan Wang;A. Haldar
本文提出了一种时域系统辨识技术，用于在单元级上估计结构在未知或不可测输入力激励下的刚度和阻尼参数。未知输入力可以是任何类型，包括地震载荷。该技术的独特之处在于它不需要在结构的所有动态自由度上进行响应测量。这个新的程序是一个组合的迭代最小二乘程序与未知输入激励（ILS-UI）的作者提出的较早，和扩展卡尔曼滤波方法与加权全局迭代（KF-WGI）。作者将新方法称为ILS-EKF-UI。考虑了输出响应的不确定性，分析了其对辨识参数精度的影响。数值算例验证了算法的有效性、准确性和鲁棒性。拟议的ILS-EKF-IU程序的准确性与ILS-UI的准确性相同;但..
A time domain system identification technique is proposed to estimate the stiffness and damping parameters, at the element level, of a structure excited by unknown or unmeasured input forces. The unknown input forces could be of any type, including seismic loading. The unique feature of this technique is that it does not require response measurements at all dynamic degrees of freedom of the structure. This new procedure is a combination of an iterative least-squares procedure with unknown input excitations (ILS-UI) proposed earlier by the writers, and the extended Kalman filter method with a weighted global iteration (KF-WGI). The new procedure is denoted by the writers as ILS-EKF-UI. The uncertainty in the output responses is considered, and its effect on the accuracy of the identified parameters is analyzed. The efficiency, accuracy, and robustness of the proposed algorithm are illustrated by numerical examples. The accuracy of the proposed ILS-EKF-IU procedure is of the same order as that of ILS-UI; ho...