| 1. | The linear errors and high order errors of a sensor ( especially piezoresistive sensor ) can be corrected by using this system
该系统可以补偿传感器（特别是硅压阻传感器）温度误差的线性部分和高阶非线性部分。 |
| 2. | The upper - left 22 portion of the matrix represents the linear part of the transformation , and the first two entries in the 3rd row represent the translation
矩阵左上角的22部分表示变换的线性部分，第3行中的前两项表示平移。 |
| 3. | The main contents include three parts : in the first part , the minimum phase systems with unmodeled dynamics and disturbances in the input - output channel are studied
主要内容有三部分：第一部分研究已建模部分为最小相位，但系统线性部分参数未知的被控对象 |
| 4. | An autoregressive model is used to fit the linear part of series ; the neural network is used to fit the nonlinear part of series and to compensate the unknown disturbance
利用一个线性ar模型拟合时间序列的线性部分,用神经网络拟合时间序列的非线性部分并补偿外界未知的扰动。 |
| 5. | An alternative to storing an affine transformation in a pair of matrices one for the linear part and one for the translation is to store the entire transformation in a 33 matrix
将仿射变换存储于一对矩阵（一个用于线性部分，一个用于平移）的替换方案是将整个变换存储于33矩阵。 |
| 6. | Based on the statere configuration system , an unknown input observer is presented for the prediction of time series . the approximate error of the ar model is regarded as the unknown - input of system
以实时拟合时间序列的线性ar模型作为时变系统的已知线性部分,将拟合误差作为时变系统的未知输入,实现了系统状态的多步预测。 |
| 7. | The learning algorithm is only based on linear least squares , and no iterative learning processes are needed . according to the demand of model precision , the algorithm determines the best weights of network and the minimal number of hidden nodes automatically
该学习算法能够根据拟合精度要求，运用线性最小二乘法确定相应的最佳网络权值和线性部分的参数，并自动确定最佳的隐层节点数。 |
| 8. | As we know , many results on analytic solutions of iterative equations are obtained by constructing a majorant series . for technical reasons , in previous works an indeterminate constant a , as the eigenvalue of the linearization of unknown function at its fixed point , is required to be off the unit circle or lie on the circle with the diophantine condition
已有的许多关于迭代方程的解析解结果都是运用优级数法得到的，并要求一个作为未知函数在其不动点处的线性部分的特征值的常数不在单位圆周上或者在单位圆周上但满足diophantine条件。 |
| 9. | Neural - based observer is integrated with synchronization control of chaotic systems . assuming that the chaotic systems can be separated into linear and nonlinear components , a neural - based observer is constructed by tracing the nonlinear components of the system using rbf ( radial basic function ) neural networks . the synchronization control of the system is accomplished
本文将神经网络观测器与混吨同步控制问题结合起来，在假定混饨系统能够分解为线性部分和非线性部分的前提下，利用神经网络逼近混饨系统的非线性部分，设计出了一种利用pf神经网络的状态观测器，可以完成混饨系统的同步控制。 |
| 10. | In order to improve the performance of ekf and ukf , the square soot unscented kalman filter ( sr - ukf ) with multiplicative noise is firstly investigated . considering the satellite nonlinear model , the sr - ukf attitude estimator is derived for gyroless satellite attitude estimation to render the state covariance with positive semi - definiteness and exceptional estimation accuracy
对于姿态估计,采用了rao - blackwellization技术将卫星模型状态向量中的线性状态部分(陀螺偏差)和非线性状态部分(卫星姿态)分开处理,线性部分状态可以由卡尔曼滤波( kf )估计得到,非线性部 |
