An improved method of stochastic subspace identification is given in this paper.
本文对该方法进行了改进，适用于无输入条件下的识别。
The key issue in stochastic subspace identification is to obtain the order of the system.
在随机子空间识别方法中，确定系统的阶数是该方法的关键工作。
Most of subspace identification algorithms at home have errors in the errors-in-variable situation and close-loop situation.
目前很多先进算法均是基于多变量模型的，因此多变量闭环辨识也成为研究的热点之一。
Focusing on the parameter identification of a cable-stayed bridge model under stationary stochastic excitation, an improved subspace identification method is presented.
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。
In this paper, the flutter derivatives of a thin plate model under the simultaneous actions of wind and rain are identified by using the Covariance-Driven Stochastic Subspace Identification method.
本文采用随机系统识别方法，在模拟的风雨共同作用条件下识别了薄平板模型的气动导数。
In this paper, the flutter derivatives of a thin plate model under the simultaneous actions of wind and rain are identified by using the Covariance-Driven Stochastic Subspace Identification method.
气动导数是大跨桥梁结构颤振和抖振分析中确定颤振临界风速和抖振响应的重要依据。
In this paper, the flutter derivatives of a thin plate model under the simultaneous actions of wind and rain are identified by using the Covariance-Driven Stochastic Subspace Identification method.
对薄平板二维节段模型做了颤振导数识别，颤振导数的计算结果与风洞试验值有很好的一致性。
Subspace based State space system identification (4sid) algorithms are new time domain methods for identifying dynamics models of mechanical structures.
子空间状态空间系统辨识(4sid)方法是近年来出现的一种用于辨识线性振动系统动态特性的时域技术。
A new blind identification algorithm for the communication channel is presented by using minimum noise subspace approach.
采用最小噪声子空间方法，提出了一种通信信道盲辨识算法。
A novel recursive subspace method is presented for pseudo-modal parameter identification of time-varying structures based on projection approximation subspace tracking algorithm.
基于投影估计子空间跟踪算法提出了一种新的可用于时变结构模态参数识别的递推子空间方法。
This paper proposed a fuzzy identification method for nonlinear systems which were based on decomposing clustering of the worst subspace.
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。
We introduce and study the subspace state space system identification method in the paper.
本文主要介绍和研究了多变量系统辨识的子空间状态空间辨识方法。
Meanwhile, the blind method based on subspace may have inevitable ambiguity and lower precision of identification.
而基于子空间的纯盲方法又带有不可避免的模糊性，辨识结果精度不够。
In this paper, a subspace tracking approach based on APEX algorithm is applied in state space model identification.
本文将基于APEX算法的子空间跟踪方法引入辨识算法。
By numeric experimentation, identification precision and efficiency of the two subspace methods is analyzed under different noise.
通过数值试验，分析了不同噪声水准下两种子空间的识别精度和效率。
By numeric experimentation, identification precision and efficiency of the two subspace methods is analyzed under different noise.
通过数值试验，分析了不同噪声水准下两种子空间的识别精度和效率。
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