Identification, reduction, and refinement of model parameters by theeigensystem realization algorithm
Identification, reduction, and refinement of model parameters by theeigensystem realization algorithm
复制标题
通过本征系统实现算法识别、约简和细化模型参数
DOI：
10.2514/3.20578
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发表时间：
1990
期刊：
影响因子：
--
通讯作者：
F. Yeh
中科院分区：
文献类型：
--
作者：
C. Yang;F. Yeh
提出了一种新的由实验数据确定振动结构模型参数的识别方法。特征系统实现算法，它形成了一个合理的选择的基础上确定的奇异值和精度指标的模型大小，利用和扩展这里识别的质量，阻尼和刚度矩阵直接从奇异值分解的汉克尔矩阵。这种方法提供了一个闭环识别框架，反馈的特征系统实现算法（ERA）的输出，并修改相应的元素和矩阵的维数，结合本文开发的模型降阶和模型精化算法。
A new identification scheme is developed to determine model parameters of vibrating structures from experimental data. The eigensystem realization algorithm, which forms the basis for a rational choice of model size determined by the singular values and accuracy indicators, is exploited and extended here to identify the mass, damping, and stiffness matrices directly from the singular value decomposition of the Hankel matrix. This approach provides a closed-loop identification framework that feeds back the output of eigensystem realization algorithm (ERA) and modifies the elements and the dimensions of the matrices accordingly by incorporating the model reduction and model refinement algorithm developed in this paper.