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Jacobian相关的网络例句

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与 Jacobian 相关的网络例句 [注:此内容来源于网络,仅供参考]

D resistivity inversion of a vertical line source of current and a method of constructing Jacobian matrix are introduced in this paper.

本文叙述了相应的反演理论和偏导数计算方法。

The main idea behind these methods is to take advantage of the known state variables and the theorem of addition for linear system without building up a new Jacobian matrix again. But the equivalent computation of algebraic equation must be performed to get state variables corrections. Accordingly, the speed required to model the contingencies is not fast enough to meet the demand of fast contingency analysis under emergency condition, which is proved by several well-known blackouts caused by flow transferring.

但是,这些算法中的大多数是在实时潮流计算的基础上,利用其中间结果和线性系统的叠加原理,直接求解出事故后的状态变量,都需要通过网络方程求解整个网络状态变量的增量,计算量较大,难于满足紧急状态下快速安全性评估的实时性要求,国内外一系列因静态潮流问题引起的大停电事故就是例证。

Then, the sequence voltages of the slack bus is replaced, and finding the positive sequence power flow several times until convergence comes off. Compared with the three-phase Newton-Raphson method, the Jacobian matrix with the proposed algorithm is of much lower order. The computation of finding the negative sequence component from the coupling power is only division arithmetic.

本文算法中修正方程式的雅可比矩阵阶数同单相潮流算法相同,是传统三相潮流算法的1/3,而通过耦合功率求解负序分量的计算,仅仅是简单的除法运算,计算量远远小于高阶矩阵的处理,因而总体上,与传统方法相比,大大降低了计算量。

The examples indicate that the unknow parameters can be estimated faster and more accurately with the proposed objective function and SPSO, the solving procedure relies less on the augmented jacobian matrix, and the mean estimated values are close to the parameter truth values.

仿真算例表明:应用该文修正项和SPSO方法,能快速准确的估计线路参数,并提高参数估计精度和降低对量测系统参数可估计性的要求,估计均值更接近参数真值。

The examples indicate that the unkown line parameters can be estimated faster and more accurately with the proposed objective function and SPSO and the solving procedure relies less on the augmented jacobian matrix.

仿真算例表明:修正目标函数和SPSO算法能快速准确地估计线路参数,且可提高估计准确度和降低对量测系统参数可估计性的要求;取连续多次估计的均值,则可减小量测误差导致的参数估计偏差。

The paper presents the formulation of the inverse kinematics of the 3-RSS/RU parallel mechanism and analyzes the direct solution. It deduces velocity Jacobian matrix. The moment transfer Jacobian matrix is obtained base on the principle of virtual work and simulated the input and output.

本论文首先推导了3-RSS/RU并联机器人的运动学反解方程,并对位置正解进行了分析,推导了速度雅可比矩阵,在此矩阵的基础上,利用虚功原理得到了力矩传递雅可比矩阵,对力矩的输入输出做出了仿真。

Third, this paper proposes a method of dealing with singularity of Jacobian matrix of robot manipulator, then introduces singular robust inverse matrix of Jacobian matrix.

并在拉格朗日—欧拉方程的基础上给出了机器人操作器的动力学方程,对动力学方程中的惯量项、重力载荷项进行了简化,并给出了哥氏力和离心力项的简单求法。

In this paper an analog computer for the determination of the Jacobian of a mapped quantity is presented. This compute can rapidly determine the Jacobian from the analyzed synoptic weather chart -with sufficient accuracy.

本文提出了一种计算天气图上某些物理量的雅可此式的模拟方法,应用这种计算机可以迅速的并足够精确的从事在实际工作中经常遇到的这种计算。

In order to compensate the time-delay, local fitting Jacobian matrix with time-delay compensation based on polynomial fitting is employed to obtain more accurate Jacobian estimation and image precompensation.

为了补偿时延,本文采用局部拟合方法估计图像雅可比矩阵,以获得当前时刻更准确的图像雅可比矩阵估值,并可对图像预补偿。

Inorder to compensate the time-delay,local fitting Jacobian matrix with time-delay compensation based on polynomial fittingis employed to obtain more accurate Jacobian estimation and image precompensation.

为了补偿时延,本文采用局部拟合方法估计图像雅可比矩阵,以获得当前时刻更准确的图像雅可比矩阵估值,并可对图像预补偿。

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