关注的斜拉桥模型平稳随机激励下的参数识别，改进的子空间辨识方法。
Focusing on the parameter identification of a cable-stayed bridge model under stationary stochastic excitation, an improved subspace identification method is presented.
子空间系统辨识方法确定系统的阶次是由可观测矩阵的非零奇异值来决定。
The system order is decided by non-zerosingular values of the observation matrix in the subspace state space systemidentification method.
该文提出了一种基于最差子空间分解聚类的非线性系统模糊辨识方法。
This paper proposed a fuzzy identification method for nonlinear systems which were based on decomposing clustering of the worst subspace.
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