误差模型

词组短语

error model

与误差模型相关的网络例句 [注：此内容来源于网络，仅供参考]

The common method, that all strong-correlation terms of the model are eliminated, can bring the loss in the engineering application, so the new method is proposed that the identified model reserves some correlation. The augmented matrix A is constructed by the outputΔW and the matrix S. The"determinating order based on ratio of determinant"is brought out to screen the strong-correlation terms in the structure identification. The latent root estimation is improved in screening the eigenvalues and eigenvectors. Thus the estimation precision is improved greatly.The consistence check of guidance instrument error coefficients of flight test and ground test is the purpose of flight experiment. The causes of inconsistency of the two models are analyzed. The hypothesis test of linear regression model based on F statistics is proposed to check the consistence.Finally, the instability of error coefficients is probably caused by the change of the flight environments, therefore, the relation between the error coefficients and flight environment is analyzed. The approach is presented to identify SINS guidance instrument error models and compensate the error in the segmented sections corresponding to the change of vertical acceleration of aircraft.

在结构辨识中，常用的方法由于将模型中的强相关项全部剔除而给工程应用带来损失，因此，本文提出了新的有益思想，即在保留一定相关性的基础上进行辨识：将输出向量ΔW与环境函数矩阵S构成增广矩阵A，然后采用"比定阶行列式"来剔除相关向量的方法，这样既可以尽可能多地保留了对落点影响大的强相关参数，又可以对落点影响小的强相关参数给予剔除；在参数估计中，改进了特征根估计中特征根和特征向量的筛选方法，提出"近零"准则，从而大大提高了参数估计的精度；再者，鉴于天地模型"一致性"检验是飞行试验和SINS制导工具误差系数分离的主要目的，因此，本文又深入分析了造成天地模型不一致的原因，提出了采用基于F统计的线性回归模型假设检验方法来进行捷联制导工具误差模型的天地"一致性"检验；最后，鉴于飞行环境剧烈变化可能会对惯性仪表误差系数稳定性带来一定的影响，因此本文深入地分析了SINS制导工具误差系数与外界环境的关系，提出了基于过载变化大小的分段辨识和分段实时补偿的算法。

Based on the analysis of the mechanism of robot manipulators, a trajectory tracking controlling research model is first built up with ADAMS, and its mathematical model is formulated through the study of robot kinematics and dynamics. After the modeling errors are analyzed in practical robotic systems, a conception of centralized error is brought forward according to the theory of weighting functions. In the case of modeling errors' exist, the robotic uncertain model is derived by introducing an auxiliary control variable into inverse dynamic analysis. The control strategy of robust exponential convergence is applied to the robotic uncertain model, the applicable conditions and the applicable controller with this application are presented. The stable control effect under three main model uncertainties (parametric errors, joint disturbs, joint frictions) are systematically studied on the previously built research model. The problems of robust exponential convergence controller which often results in unstable output and so produces a large relative error when the input trajectory is in a small range are resolved by adjusting the control parameters based on the controller's structure.

本文在机械手的机械结构分析基础上，利用ADAMS建立了用于机械手轨线跟踪控制研究的机械手模型；通过对机器人运动学和动力学问题的研究，建立了机械手研究的数学模型；分析了机器人系统中模型误差的主要来源，根据加权函数法分析，提出了模型集中误差的概念；在存有模型误差的情况下，采用逆动力学结构并引入辅助控制量，由机器人误差模型推导了机器人非确定性模型；提出了采用鲁棒指数收敛法对上述机器人非确定性模型进行鲁棒镇定的控制策略，并给出了对机器人进行鲁棒指数收敛控制时系统不确定因素应满足的匹配条件；针对机械手研究模型，深入研究了鲁棒指数收敛控制器对机器人系统中常见的模型参数误差、关节扰动、关节摩擦等不确定因素的镇定控制效果；针对鲁棒指数收敛控制器易产生控制量振荡的问题以及在小范围内系统轨线跟踪的稳态误差过大问题，本文分别提出了基于控制器结构的控制参数调整法和基于轨线跟踪范围大小的控制参数分段切换法。

The mathematical models of the delay of the GPS signal in the circumstance are put forward respectively. The computation of orbital arc of the two satellite constellations is based on two body problem and perturbations models. An algorithm based on the IRI model and thin layer model is used to simulate the ionospheric delay of the GPS signal. The error models of observation, multipath, relativity and antenna phase center bias are also researched. Under the consideration of the autocorrelation of the electronical measurements, the autoregressive model of time series is introduced into the noise models.

在信号仿真中，研究了利用二体运动和摄动法计算LEO卫星至GPS卫星星座的几何距离的问题；在信号的误差模型中，研究了电离层时延的IRI2001模型和单层投影模型；讨论了观测误差、多径效应、相对论效应和天线相位中心偏移的误差模型；结合电子测量噪声的具有自相关特性的经验，研究了观测误差的AR模型；结合实测数据分析，讨论了接收机钟差和卫星钟差的误差建模问题。

On the basis of direct modelling method by using extended Kalman filter, a new method combining extended Kalman filter with adaptive extended Kalman filter is presented to model gyro drift directly from rotate angle of turntable. Extended Kalman filter has great estimation error, what is more, may be divergent if the model and noise statistic are not accurate or wrong. The new method solves the problem of general extended Kalman filter by using fictious noise with timevarying statistic to compensate the linearized model error of extended Kalman filter. The parameter estimators of single-axis and double-axis servo test are designed from it.

本文深入研究了根据伺服试验数据进行陀螺仪漂移误差模型建模的方法，在应用广义Kalman滤波器直接建模的方法基础上，针对广义Kalman滤波器对于不精确或错误的模型和噪声统计，估计误差较大，甚至滤波发散的缺陷，借助于用带时变噪声统计的虚拟噪声补偿广义Kalman滤波的线性化模型误差的新思想，提出了用广义Kalman滤波和自适应广义Kalman滤波算法相结合的方法由转台的转角数据直接建模陀螺仪漂移误差模型，并设计了陀螺仪单轴伺服和双轴伺服测试时参数估计的滤波器。

The basic idea Is: using the standard value inserting the dynamic measuring errors which involve systematical errors and random errors, constructing the original error model which is revised at the same time and follows the variable law of the dynamic measuring errors, establishing a more suitable error model.

基本思想是：利用标准量插入动态测量数据实时分离含有系统误差和随机误差的动态测量误差值，建立误差的初始数学模型，并根据不断获得的标准点处的测量误差，实时修正或校正所建的初始误差模型，使误差模型不断跟踪动态测量误差的变化规律，建立更加符合动态测量过程的误差模型。

In this paper, firstly, the new combined error model of cumulative geoid height influenced by three error sources including the inter-satellite range-rate of K-band ranging system, orbital position of GPS receiver and non-conservative force of accelerometer from GRACE satellites is established using the semi-analytical method. Secondly, the dependability of error models is demonstrated based on matching relationship among the accuracy indexes of key payloads. Finally, the accuracy of global gravitational field up to degree and order 120 is effectively and rapidly estimated from GRACE Level 1B measured observation errors of the year 2006 publicized by the Jet Propulsion Laboratory in the USA, and the cumulative geoid height error is 18.368 cm at degree 120, which preferably accords with the Earth's gravitational field model EIGEN-GRACE02S provided by the GeoForschungsZentrum Potsdam in Germany.

首先基于半解析法建立了新的GRACE卫星K波段测量系统星间测速、GPS接收机轨道位置和加速度计非保守力误差联合影响累计大地水准面的误差模型；其次，基于各关键载荷精度指标的匹配关系，论证了误差模型的可靠性；最后，基于美国喷气动力实验室公布的2006年的GRACE Level 1B实测误差数据，有效和快速地估计了120阶全球重力场的精度，在120阶处累计大地水准面的精度为18.368 cm，其结果和德国地学研究中心公布的EIGEN-GRACE02S全球重力场模型符合较好。

Based on the analysis of error, appropriate polynomial error model of the laser gyroscope is built to satisfy the error processing of the system. Recognition methods of model parameter and experiment results are given out as well.

在对其误差分析的基础上，建立了满足寻北系统误差处理需要的激光陀螺多项式误差模型，给出了模型参数的辨识方法和试验结果。

The measurement system error model analysis is introduced into power system real time network state analysis as an important part for the first time, which can improve on the state estimation quality and provide the capability to monitor the operation of the measurement system; 2. The theory and algorithm of the on-line estimation and update of measurement noise variance based on the relation between the residual variance and noise variance. The statistic properties of the sample variance are discussed and the relation between the estimation precision and sample size under given confidence level is derived; 3. The theory and algorithm of detection and identification of measurement bias are presented, which is based on the relation between residual mean and noise mean. The statistic properties of sample mean are discussed and the relation between estimation precision and sample size is derived; 4. The Givens orthogonal transformation algorithm is selected to be the essential algorithm of state estimation, the fast orthogonal transformation algorithm with damp factor and the algorithm which can handle the zero injection measurements efficiently are presented; 5. The quantity analysis theory of bad data detectivity and identifibility are presented, which describes the relation between the elements in matrix W〓 and bad data amplitude and can provide the theory base for measurement system design and valuation.

一、首次将量测系统误差模型分析做为一个环节引入电力系统实时网络状态分析中，为EMS系统增加了实时监视系统运行、修正量测系统误差模型的新功能，进一步发挥了实时网络状态分析应用软件的潜力；二、首次提出了应用样本方差在线估计与修正量测系统误差方差的基本理论，讨论了样本方差的统计性质和概率分布，推导出了样本容量、估计精度和置信度之间的关系，给出了在线估计与修正量测系统误差方差的算法；三、首次提出了应用样本均值在线检测与辨识量测偏差的基本理论，讨论了样本均值的统计性质，推导了样本容量、估计精度和置信度之间的基本关系，给出了在线检测与辨识量测偏差的算法；四、在状态估计算法设计中，以Givens变换算法做为基本算法，提出了快速正交变换阻尼因子法和可以有效地处理零注入量测的混合法，并对实时应用中的一些问题进行了讨论；五、提出了不良数据可检测性与可辨识性的定量分析理论，揭示了描述量测系统配置、网络结构与参数的残差灵敏度矩阵中的元素与不良数据的幅值在可检测、可辨识能力上的定量关系，为量测系统配置设计与评价提供了理论基础；六、综合国内外最新研究成果，采用自适应自回归预测技术和稀疏矢量技术，构造了较完善的不良数据检测与辨识算法。

Then a mixed-programmed method based on MATLAB and VB was introduced to simulate the shafting error model, and the error model was proved by comparing the simulating and calculating result with the spherical trigonometry method, which provides reference for precision analysis and error correction.

采用MATLAB与VB混合编程的方法对该误差模型进行了仿真分析，通过比较仿真结果与单项误差法计算的结果，验证了该轴系误差模型的正确性，为光电经纬仪的精度分析和误差修正提供了参考。

Based on the modeling theory of the equivalent probability density error model(marked as "Tepdem") and the numerical algorithm,this paper provides an approach on how to ascertain a point location with the highest coordinates precision between both of the adjacent characteristic points on a generic curve accurately by use of the theory of function extremum as well as the iterative algorithm,and it also provides the method on how to obtain the least width of "Tepdem" exactly,from which,the explanation of geom...

基于等概率密度误差模型建模原理和数值算法，运用函数极值理论和迭代方法来求解平面一般曲线上两相邻特征点间位置精度最高的点，以精确确定误差模型的最小带宽，从理论上给出等概率密度误差模型的几何特征，从而进一步完善矢量GIS的位置不确定性理论。通过实例计算与可视化分析，验证了理论推导的正确性。

与误差模型相关的网络解释 [注：此内容来源于网络，仅供参考]

Error component model：誤差成份模型

Error analysis 误差分析 | Error component model 误差成份模型 | Error correction mechanism 误差修正机能

error mean square：误差方差

error limit 误差界限 | error mean square 误差方差 | error model 误差模型

error model：误差模型

error method 误差法 | error model 误差模型 | error of chronometer 天文钟差

normal error model：正规误差模型

normal equations 正规方程 | normal error model 正规误差模型 | normal extension 正规开拓

random error model：随机误差模型

相移误差:Phase-shifting error | 随机误差模型:random error model | 随机相位控制:random phase control

dynamic error model：动态误差模型

动态数学模型:Dynamic Mathematics Model | 动态误差模型:dynamic error model | 动态数学模型:dynamic mathematic model

measurement error model：测量误差模型

相位误差模型:phase error model | 测量误差模型:measurement error model | 误差修正模型:error correct model

phase error model：相位误差模型

随机相位屏:random phase screen | 相位误差模型:phase error model | 幅相误差:gain and phase error

error in variable model：变量误差模型

error in variable bias ==> 变量误差偏倚 | error in variable model ==> 变量误差模型 | error in viewing ==> 视差

error in variable bias：变量误差偏倚

error in spectrochemical analysis ==> 光谱分析误差 | error in variable bias ==> 变量误差偏倚 | error in variable model ==> 变量误差模型