提出了基于新息图法的参数错误辨识方法。
A new method to identify network parameter errors based on innovation graph method is proposed.
提出了用新息图法辨识母线拓扑错误的方法。
This paper proposes an innovation graph method for the location and identification of the substation bus topology errors.
ARMA 新息模型在最优滤波理论中起重要作用。
The ARMA innovation models play an important role in the optimal filtering.
将多新息辨识理论用于研究CARMA模型的参数估计问题。
The parameter estimation problem of CARMA models is studied by using the multi-innovation identification theory.
提出了一种直接根据新息的机动目标跟踪非线性预测跟踪滤波算法。
A nonlinear predictive tracking filtering algorithm is presented for maneuvering target, which is an innovations-based scheme of maneuver estimation.
结合现代时间序列分析方法，并根据新息模型设计了状态最优滤波器。
An ARMA innovation model and the state optimal filter are designed by modern time series analysis method.
通过新息的计算减少观测数据间的冗余进而增加了潜在分量的非高斯性。
The fundamental mechanism of innovation model was to reduce the redundancy among the observed samples, thus it could increase the nonGaussianity of the latent components.
基于射影理论及新息分析方法，讨论离散随机线性系统最优状态估计问题。
This paper deals with the optimal state estimation problem for the discrete stochastic system based on the innovation theory and projection method.
在新息图中定义连支推算新息矢量，提供了获取新息矢量元素的又一途径。
The link reckoning innovation vector defined in the innovation graph provides another way to obtain the innovation vector elements.
然后引入新息重组序列解决该最小方差估计问题。这是在网上找到的，…
Then, the latter one is solved by introducing a re-organization innovation sequence.
新息图状态估计在拓扑结构获取和不良数据辨识方面与一般状态估计差异较大。
In terms of state estimation, there are great differences between the innovation graph technique and the conventional methods on obtaining the topology configuration and identifying bad data.
由于改善了偏差估计的新息计算，使得偏差估计的结果更准确、收敛速度更快。
The new method can give more accurate results of parameter estimation with more effective con-vergence rate than EKF does since the computation of innovation is improved.
而灰色系统理论的研究主要是基于时间序列累加，强调新息优化，研究现实规律。
However, the study of the grey system theory mainly bases on the cumulative time series, which emphasizes the new data optimization and researches on real regulation.
采用灰色理论中的等维新息思想构建训练样本，建立了等维新息神经网络预测模型。
A new neural network model is established based on the concept of equal dimension and new information in grey theory.
基于多项式ARMA新息模型方法提出了随机奇异线性离散时间系统的稳态最优估计。
The steady-state optimal estimation of singular systems is studied by applying ARMA innovation model.
将关键变量分离原理和辅助模型思想相结合，得到单新息递推增广最小二乘辨识算法。
By combining the key term separation principle with the auxiliary model idea, we can obtain the single innovation recursive extended least squares identification algorithm.
新息重组的主要思想是：通过重新组织不同观测方程的观测值，导出重组的新息序列。
Main idea of the re-organized innovation: We will renew to organize innovation, which comes from different observer measurements, and introduce a re-organized innovation sequence.
根据卡尔曼滤波新息过程的统计特点，将新息过程部分反馈到DR方程以抑制DR的误差发散。
Innovations of FKF are partly fed back to DR equations to restrain the accumulation of error according to the characteristic of innovations.
文中将灰色理论应用于电力负荷预测，设计了等维新息模型，并根据实际数据说明了样本的合适长度。
The paper discusses applying grey theory to power load forecasts, design equal-dimension and new-information model, and illustrate appropriate size of the sample on the basis of practical data.
该方法通过建立等维新息残差修正GM预测模型，实现了航迹的实时在线预测，从而提高了预测精度。
Through establishing the predicting GM model of corrected residual error, on-line prediction of the target track could be realized in real time, and thus could improve the prediction precision.
该算法采用协方差匹配技术，依据滤波新息，动态调整测量噪声方差，使融合系统的均方误差始终最小。
With covariance matching technique and innovation information of filtering, the noise variance is dynamically adjusted and the mean square error of the fusion system always keeps minimum.
应注意在构造ARMA新息模型时，必须进行多项式矩阵的左素分解，才能得到正确的ARMA新息模型。
Notice that constructing the ARMA innovation model, a left co-prime factorization to a polynomial matrix must be performed, so that the ARMA innovation model can correctly be obtained.
引入相应的格林空间随机系统，应用格林空间投影理论和新息分析方法，得到了不定二次型的最小值及其存在条件。
Then, by introducing a corresponding Krein space stochastic system and applying projection and innovation analysis, the minimum of indefinite quadratic form and its existence condition are derived.
针对测量仪器校准间隔的优化问题，分析了历史校准数据的特征，建立了等维新息马尔可夫GM（1，1）预测模型。
To optimize the calibration interval of a measuring instrument, a prediction method based on the renewal GM(1,1) model is put forward.
同时针对影响内阻变化的因素太多且不确定的情况，提出了实时在线的方法建立起动态新息的GM(1,1)预测模型。
Because many uncertain factors impact the internal resistance, this paper give a real time method and establish a dynamic innovation forecast model of GM (1, 1).
本文基于辨识 ARMA新息模型生成估计残差序列 ，再对残差序列的平均值和无偏方差进行假设检验 ，可实现工序质量的异常诊断。
In this paper, a method of process quality diagnosis using hypothesis testing for residual sequence of ARMA innovation model estimation error by recursive maximum likelihood method was studied.
为了提高新息改进GM(1,1)模型的预测精度，引入累积法对新息改进GM(1,1)模型的参数进行估计，给出了新的参数估计公式。
In order to improve the forecast precision of modified GM (1, 1) model, a new parameter estimation formula based on accumulating method to modified GM (1, 1) model is proposed.
卡尔曼滤波方法已广泛应用于动态测量数据的处理，其单位权方差通常按新息向量和观测值的残差向量进行计算，增加了观测值残差向量的计算。
Kalman filtering method is widely used in data adjustment of dynamic surveying system, whose unit variance is usually computed with innovation vector of parameters and residual vector of observations.
卡尔曼滤波方法已广泛应用于动态测量数据的处理，其单位权方差通常按新息向量和观测值的残差向量进行计算，增加了观测值残差向量的计算。
Kalman filtering method is widely used in data adjustment of dynamic surveying system, whose unit variance is usually computed with innovation vector of parameters and residual vector of observations.
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