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随机子空间算法实现 matlab函数 分两步求取 来源于网络-Stochastic Subspace Realization Algorithm
Tohru Katayama, "Subspace Methods for System Identification", Springer
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随机子空间算法，用于模态参数识别，可以学习-Stochastic subspace algorithm for modal parameter identification, we can learn
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随机子空间的matlab主程序代码，可以实现高精度的辨识。按照《基于随机子空间和最小二乘法的介质损耗角测量方法》、常军博士论文《随机子空间方法在桥梁模态参数辨识中的应用研究》编写。-Stochastic subspace matlab main code, you can achieve high-precision recognition. Accordance with the " stochastic subspace-based least-squares method and
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随机子空间方法的模态参数识别，程序是matlab-Stochastic subspace modal parameter identification procedures
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针对结构转角信息难以测量的问题，采用转角信息重构技术由随机子空间从振动信号中提取的结构平动位移估算结构转动位移，然后构建改进的单元损伤变量-Since it is difficult to measure the rotational responses of a structure, a technique was adopted to evaluate the approximate modal rotations with the modal displacements, which we
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stochastic subspace identification code
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Stochastic subspace identification method based on data-driven, slightly modified to identify structure of frequency and damping
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随机子空间法用于模态参数识别 能够识别频率阻尼-Stochastic subspace method for modal parameter identification
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此程序为随机子空间法的模态参数识别程序，可用来识别模态参数（模态频率，模态振型，阻尼比）(This program is a stochastic subspace method modal parameter identification program that can be used to identify modal parameters (modal frequency, mode shape, damping ratio))
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