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In the radar elevation coordinate, the multipath effects are more severe, which cause periodic peak error in the target height measurement.

在雷达俯仰角方向上多径误差的影响尤为严重,使得目标高度的测量误差表现为周期性的尖峰误差

From our results we know that the average error of the Lagrange interpolation sequence and the Hermite interpolation sequence based on the Chebyshev nodes in the 1-fold integrated Wiener space equal weakly to the average error of their corresponding optimal approximation polynomial in the 1-fold integrated Wiener space,and as a kind of information-based operation,they have simple form and their recover functions are polynomials,in the 1-fold integrated wiener space,their average error equal weakly to the corresponding minimal information radius whose permissible information operators class is function values.

通过我们的结果可以知道,基于第一类Chebyshev多项式零点的Lagrange插值算子列和Hermite插值算子列在1-重积分Wiener空间下的平均误差弱等价于相应的最佳逼近多项式在1-重积分Wiener空间下的平均误差,并且作为形式简单且恢复函数为多项式的一种信息基算法,其在1-重积分Wiener空间下的平均误差弱等价于相应的以函数值计算为可允许信息算子的最小平均信息半径。

The results show that the phase error of the vector measurement is zero, and amplitude error can be eliminated, and the error caused by D/A is much lower than a LBS.

结果证明,相位测量的理论误差为零,幅度测量的理论误差可用修正系数消除,且D/A有限字长引起的误差远小于一个LBS。

The radius vector error and polar angle error are used to describe the scroll involute error.

并采用极角误差以及向径误差来描述线型误差

The attitude error equation for the polar gyro is linear time-invariant, and that for the equator gyro is linear and time varying. Furthermore, they are independent of each other.

极轴陀螺的姿态误差方程是线性定常的,赤道陀螺的姿态误差方程是线性时变的,并且极轴陀螺与赤道陀螺的姿态误差方程是相互独立的。

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。

By computer simulation, the effect of structure parameter errors on position error and the effect of joint variant θ〓 on position error are analysed.

通过计算机仿真,分析了各杆件结构误差的大小变化对测头位置误差的影响,以及各关节变量θ〓的变化对测头位置误差的影响。

First not taking the measurement error of covariates into account, we construct respectively structural regression models of lung function indices on the covariates. Then we use structural regression models with measurement error of multidimensional covariates to estimate synthetically the average effects of air pollution on lung function of preadolescent children.

先不考虑协变量—儿童年龄、身高、体重的测量误差,分别就儿童的各项肺功能指标对年龄、身高和体重建立结构回归模型;然后在协变量的测量误差分布相同和不同的假设下,分别建立各项肺功能指标对年龄、身高和体重的带有测量误差的结构回归模型,从而综合估计空气污染对儿童肺功能的平均影响效应。

Based on Taylor decomposition and the principal of matrix turbulence,the measuring error of structured light and error from light-plane calibration were analyzed,in which cross-ratio invariant was used in calibration of structured light system.

本文针对交比不变原理的结构光光平面标定方法,利用泰勒展开和矩阵扰动原理分别对系统的测量误差和光平面标定误差进行分析,提出了结构光测量系统的误差传递模型。

It's pointed out that soft sensor will play more important role in field bus network control system. According to this, a crude solution was addressed. At last, we point out that soft sensor technology must used to build an information warehouse for the whole enterprise, combined with data fusion, data warehouse, data rectification and other related technologies. The main contributions of this dissertation are as follows: The background, requirement, and application situation of soft sensors are expounded, the theories, methods and skills of soft sensing technology are analyzed, and the fruits and problems in current soft sensor technologies are summarized. Some new methods of soft sensor is proposed: A principal component analysis-based secondary variable selection method are proposed; A new conception which modeling data should have gross error detection is addressed, and then a cluster analysis-based modeling data gross error detection method is given.

本文的主要贡献有:对软测量技术根据实践的要求进行了一定的理论研究,针对具体问题提出了新的方法:讨论了辅助变量选择问题,研究了基于主元分析的辅助变量选择方法,该方法克服了传统方法只能利用数学模型产生的仿真数据进行最优辅助变量选择的缺点,可以根据历史数据进行辅助变量选择;提出了建模数据显著误差侦破的概念,指出传统的显著误差侦破研究的是已知过程数学模型的情况,而建模时数学模型是未知的,但是直接来自现场的数据并不能保证不含显著误差,并用基于聚类分析的方法解决了该问题,该方法利用聚类分析原理,直接面对过程数据,不需以过程模型为基础,在此基础上给出了软测量建模过程中样本数据的处理方法。

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