This paper studied the linear structure system modal parameters identification based on Genetic Algorithms.
本文系统地研究了基于遗传算法的线性结构系统模态参数识别方法。
Focusing on this problem, a modal parameters identification algorithm based on left matrix fraction description of FRF was proposed.
针对该问题，提出一种基于频响函数左矩阵分式模型的模态参数识别方法。
The identification results have indicated that the proposed method is an effective tool for modal parameters identification of time-variant linear system.
实验结果和理论计算结果比较表明：该方法为参数时变线性系统的模态参数辨识提供一条新途径。
This study presents a modal parameters identification approach which can identify the cable tension and bending stiffness simultaneously only from the cable frequencies.
提出了由拉索实测振动频率同时识别出拉索索力和抗弯刚度的模态参数识别法。
This study presents a modal parameters identification approach which can identify the cable tension and bending stiffness simultaneously only from the cable frequencies.
提出了由拉索实测振动频率同时识别出拉索索力和抗弯刚度的模态参数识别法。
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