According to the peculiarity of the SINS nonlinear error model, the simplified SPKF algorithm was derived, and the SINS initial alignment were simulated based on EKF and simplified SPKF.
针对对准模型的特性，推导了SPKF简化算法，进行了静基座下基于扩展卡尔曼滤波(ekf)、简化spkf的SINS初始对准仿真。
To improve measurement precision of gyroscope, a novel nonlinear error compensation model is proposed using an algebra algorithm of neural networks.
为了提高陀螺仪的测量精度，基于神经网络代数算法提出一种新的非线性误差补偿模型。
The application of nonlinear error in measure model in the calibration of camera is further improved on the base of other researcher.
在前人工作的基础上，进一步完善了非线性度量误差模型在摄像机定标的应用。
Aimed at the kinematic model of the car-like mobile robot with four wheels, the tracking error system is firstly transformed to a nonlinear serial system through a regular transformation.
针对四轮车式移动机器人的运动学模型，首先利用一个正则坐标变换，将误差系统转换为一个非线性串联系统的形式；
This paper presents the application of an approximate nonlinear filter in the identification of gyro drift error model.
提出了应用近似非线性滤波技术，辨识陀螺漂移误差模型的方法。
This paper realizes disturbance de-coupled with model error and system uncertainty by using a combination of full-order nonlinear unknown input observer and fault detection filter.
该文设计了全维非线性未知输入观测器，实现检测滤波器对于被控对象模型误差和系统不确定性因素的干扰解耦。
Based on the approximation property of fuzzy systems, a nonlinear system can be expressed as the form of linear parametric model and a modelling error term.
根据模糊系统的逼近性质，非线性系统可以表示为线性参数化模型加上一建模误差项。
SAR image nonlinear iterative filtering approach based on correlated neighborhood model is presented, it can restrain error accumulation.
提出一种基于相关邻域模型可抑制误差积累的SAR图像非线性迭代滤波方法。
To establish mathematical model, various nonlinear factors are seriously considered, which can constrict the error between result of computer simulation after theoretical analysis and result of test.
在建立数学模型时，充分考虑了各非线性因素，缩小了理论分析、计算机仿真结果与试验结果之间的误差。
Nonlinear mathematical model for spatial straightness error evaluation is firstly established in this paper based on the minimum zone condition.
本文首先按最小条件建立了评定空间直线度误差的非线性数学模型。
The Predictive Filter is an estimation method based on nonlinear system model, which determines the optimal model error using a one-step ahead control approach to provide accurate state estimations.
预测滤波器是一种基于非线性系统模型的滤波方法，它通过使输出一步前向预测误差最小来估计模型误差，具有较高的估计精度。
The results validate more validity of nonlinear error correction model on the wavelet neural network than linear vector autoregressive model, and forecast validly the nonlinear economy system.
研究证明，小波神经网络所建立的非线性误差校正模型有较好的预测效果，能够有效地预测非线性经济系统。
We combine unitary nonlinear regression with multivariate linear regression, it can reduce the error sum of squares of the model and improve the precision of forecast.
即把一元非线性回归和多元线性回归结合起来，构造一个混合回归模型，这样就减小了模型的残差平方和，从而提高预报的准确性。
Firstly, the error of fit must be defined for nonlinear least-square fitting of generalized geometry model. Then the nonlinear optimization algorithm can be used to obtain the optimum solution.
对于一般几何模型的非线性最小均方误差拟合，首先必须定义拟合误差，然后采用非线性最优化方法求解最小误差意义下的最优解。
Then two better methods that one of correction of model error and the other of nonlinear filter by Strong Tracking Filter were proposed.
本文提出了一种基于强跟踪滤波器的自适应故障预报方法，能够对一类带时变参数的非线性系统进行故障预报。
This paper proposes a nonlinear model for guidance instrument systematic error separation based on tracking trajectory data.
基于惯性制导工具误差模型，推导出存在工具误差时的再入点运动参数模型。
This paper proposes a nonlinear model for guidance instrument systematic error separation based on tracking trajectory data.
基于惯性制导工具误差模型，推导出存在工具误差时的再入点运动参数模型。
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