中文摘要：

对线性时变结构系统参数识别方法进行了简要回顾,总结了时频分析方法、时间序列分析方法以及子空间方法近几年国内外相关研究进展,重点介绍了子空间方法用于时变结构系统模态参数识别方法相关研究成果.介绍了用于非线性时变系统辨识的主要的神经网络方法,以及基于自回归滑动平均模型的时间序列分析方法.最后指出了该领域研究中存在的一些问题和今后的主要研究方向.

英文摘要：

The advances in methods of estimating modal parameters of a linear time-varying structural system and identifying dynamics characteristic of nonlinear time invariant structural systems in recent years are briefly reviewed. A parameter estimated procedure for linear time-varying structural system based on the subspace technology and nonlinear system identification method including scheme based on the neural networks and time varying NARMA （nonlinear auto regressive moving average） model is summarized in detail. Finally, major issues and directions for future work are discussed.