• 提出了基于参数错误辨识方法

    A new method to identify network parameter errors based on innovation graph method is proposed.

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  • 提出了用新息辨识母线拓扑错误方法。

    This paper proposes an innovation graph method for the location and identification of the substation bus topology errors.

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  • ARMA 新息模型滤波理论中重要作用

    The ARMA innovation models play an important role in the optimal filtering.

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  • 将多辨识理论用于研究CARMA模型参数估计问题

    The parameter estimation problem of CARMA models is studied by using the multi-innovation identification theory.

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  • 提出了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.

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  • 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.

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  • 通过新息计算减少观测数据冗余进而增加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.

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  • 基于射影理论分析方法讨论离散随机线性系统状态估计问题

    This paper deals with the optimal state estimation problem for the discrete stochastic system based on the innovation theory and projection method.

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  • 定义支推算新息矢量提供了获取新息矢量元素又一途径

    The link reckoning innovation vector defined in the innovation graph provides another way to obtain the innovation vector elements.

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  • 然后引入重组序列解决该最小方差估计问题。在网上找到的,…

    Then, the latter one is solved by introducing a re-organization innovation sequence.

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  • 状态估计拓扑结构获取不良数据辨识方面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.

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  • 由于改善了偏差估计计算,使得偏差估计结果准确收敛速度更快

    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.

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  • 灰色系统理论研究主要基于时间序列累加强调优化研究现实规律

    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.

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  • 采用灰色理论中的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.

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  • 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稳态最优估计

    The steady-state optimal estimation of singular systems is studied by applying ARMA innovation model.

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  • 关键变量分离原理辅助模型思想相结合,得到新息递推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.

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  • 重组主要思想是:通过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.

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  • 根据卡尔曼滤波新息过程统计特点,将新息过程部分反馈DR方程抑制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.

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  • 文中灰色理论应用于电力负荷预测设计了等模型根据实际数据说明样本合适长度。

    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.

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  • 该方法通过建立修正GM预测模型实现了航迹实时在线预测从而提高预测精度

    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.

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  • 该算法采用协方差匹配技术,依据滤波动态调整测量噪声方差使融合系统误差始终最小

    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.

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  • 注意构造ARMA模型时,必须进行多项式矩阵素分解,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.

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  • 引入相应格林空间随机系统应用格林空间投影理论新息分析方法得到不定二次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.

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  • 针对测量仪器校准间隔优化问题,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.

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  • 同时针对影响内阻变化因素太多且不确定的情况,提出实时在线的方法建立动态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).

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  • 本文基于辨识 ARMA模型生成估计序列 ,再残差序列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.

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  • 为了提高改进GM(1,1)模型预测精度引入累积新息改进GM(1,1)模型的参数进行估计,给出了的参数估计公式

    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.

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  • 卡尔曼滤波方法广泛应用动态测量数据处理,单位权方差通常新息向量观测值的差向量进行计算,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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  • 新息序列平均平方和评价函数优化扫描光谱峰位,消除扫描过程可能产生波长定位误差从而保证滤波结果的准确性,并使实际检出限显著改善。

    The whiteness of the innovation sequence for an optimal filter was explored to be the criterion for the correction of the wavelength positioning errors which may occur in spectral scans.

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  • 新息序列平均平方和评价函数优化扫描光谱峰位,消除扫描过程可能产生波长定位误差从而保证滤波结果的准确性,并使实际检出限显著改善。

    The whiteness of the innovation sequence for an optimal filter was explored to be the criterion for the correction of the wavelength positioning errors which may occur in spectral scans.

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