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position vector相关的网络例句

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According to the statistic analysis of Prof. Amari on static recognition with neural networks, and introducing the concept of vector position stochastic variable of vector stochastic sequence, the stochastic variable is processed by DRNN. The relationship between input and output variance is analyzed. The stochastic analysis of dynamic identification is given, so as to explain the DRNN characteristics in recognition process.

第二,根据Amari教授对神经网络静态识别时的统计分析,引入矢量随机序列的矢量位置随机变量的概念,以该随机变量经过DRNN处理后,分析其输入与输出方差之间的关系,试给出了DRNN做动态识别时的统计分析,以从理论上说明DRNN在识别过程中的特性。

In this paper, based on the analysis of the structure, movement principle and math model of PMSM, fundamental theories of vector control, coordinates transform and algorithm of space vector PWM are introduced and PI control, speed and position calculation methods are discussed.

本论文在分析了PMSM的结构、运动原理及数学模型的基础上,系统地阐述了PMSM交流伺服系统矢量控制的基本原理、坐标变换方法及空间矢量脉冲宽度调制波的生成算法,论述了PI控制算法和速度位置计算方法。

In terms of cost and reliability, the indirect vector control system , which estimates the position of the rotor flux vector from the machine parameters, is widely used.

出于成本和可靠性的考虑,间接矢量控制系统,即基于转子磁链位置估计的矢量控制系统在实际中得到了广泛的应用。

In order to implement the algorithm, a linearization method is applied in an extremely short sampling cycle to calculate the increments of torque and flux magnitude, to derive the linear equation between the desired stator flux linkage vector increment angle and the increments of torque and flux magnitude, to derive the stator voltage vector reference and to determine the next position of the stator flux linkage vector.

算法的实现运用了线性化的方法,在一个极小的采样周期内,计算出转矩增量和磁通增量,以此推导出所需的定子磁链增量角与转矩增量及磁通增量两者之间的线性方程,进一步导出所需的定子电压矢量,并确定新的定子磁链位置。

The thermodynamic state vector, Sk, which comprises four vector components, i.e., the sequence number, the position and the local solute concentrations in both SCms and SCses, is introduced to describe the local thermodynamic path and the macroscopical thermodynamic path.

引入由溶质微元的序号集合、溶质微元的位置矢量、固定相溶质浓度矢量和流动相溶质浓度矢量组成的热力学状态矢量Sk,并用其来描述色谱过程的局域热力学路径和宏观热力学路径。

Because of the nonuniqueness in the positional solution, it's not easy to test the performance of the coordinated control system. So the model of NN was built to convert the vector of the length of 6 jars into the vector of the position of the motion deck. It's fast and accurate for the lengthwise direction. The state space system model of the six degree freedom motion simulator was built by the equations of electrodraulic servo mechanism and the multi-body dynamics equation of the six degree freedom motion simulator,the vector of the length of 6 jars was the control variable.

本文结合六自由度运动模拟器的多体动力学方程和电液伺服驱动机构的特性,经简化得出了具有实际意义的六自由度运动模拟器整体系统的状态空间方程式,通过分析该系统的稳定条件和能控性,采用状态反馈对系统的状态方程式进行合理配置,从而建立了以运动模拟器杆长向量为控制变量的运动模拟器整体控制系统,并将该控制系统输出的杆长向量转换为位置向量。

Based on the traits of dyadic wavelet decomposition of signal and that of the distribution of wavelet image coefficients, PLVQ and ZR are conjoined by making use of D\-4 lattice. Firstly, Pyramidal lattice vector quantization is adopted to quantize wavelet image coefficients. Nonzero lattice vectors and zero lattice vectors are formed. Secondly, nonzero lattice vectors are dealt with by adopting complex entropy coding. Finally, in order to fix on the position of nonzero lattice vector effectively, that is, to deal with zero lattice vectors effectively, the concept of significant map is introduced into. The significant map is scanned two times from down to up and from up to down.

根据信号的二进小波分解特点和小波图象系数的分布特点,利用D\-4格将PLVQ和零树结合起来,提出了一种基于零树和金字塔格型矢量量化的小波图象编码方法,该方法首先采用金字塔格型矢量方法来量化小波图象系数,以得到非零格点和零格点;然后采用复合熵编码来处理非零格点;最后为了有效确定非零格点的位置,也就是为了有效地处理零格点,又引进了重要图的概念。

Based on analyzing regression analysis, neural network and the least square support vector machines that the three soft computing methods fitting for data fitting, in the paper try to use nonlinear regression analysis, the BP neural network based on Levenberg-Marquardt training algorithm, radial basis function neural network on orthogonal least square training algorithm and least square support vector machines for tracking the position of glass plate.

本文在分析适于数据拟合的回归分析、神经网络、最小二乘支持向量机这三种"软计算"方法的基础上,尝试将非线性回归分析方法,基于Levenberg-Marquardt算法的BP神经网络,基于正交最小二乘训练算法的径向基函数神经网络和最小二乘支持向量机应用于玻璃板位的跟踪中。

The reflection vector is computed from the input vertex position and normal vector.

反射向量根据输入顶点位置和法向量计算得到。

To achieve high-performance PMSM position servo system, advanced control scheme, which is static precision, transient responses and self-adaptation and anti-disturbances, is needed in practice. Based on the analysis on the features and control principles of PMSM, this thesis established its math model using id=0 vector control method. Three close loops control system, which includes current loop, velocity loop and position loop, was built up. For position loop, the main feedback loop, we chose a new adapted-fuzzy CMAC intelligent controller, which includes self-learn ability of neural net and quick response merit of fuzzy controller. Finally, the author simulates PMSM position servo system by the simulink of matlab, an advanced computer simulation tool.

本文对PMSM的控制机理和特性作了较为深入的分析;建立了PMSM的数学模型,并采用了id=0的矢量控制策略;对控制系统组成及控制方式作了分析和比较,在此基础上建立了电流环、速度环和位置环的三闭环控制系统,对作为反馈主回路的位置环采用了模糊CMAC神经网络控制方法,该方法兼具模糊控制器的快速性和神经网络的自学习能力;构建了针对PMSM位置伺服系统的模糊CMAC控制器结构及其相应的算法;利用先进的计算机仿真工具(Matlab下的Simulink)对所提出的控制策略进行了数字仿真和分析;仿真和实验结果表明本文所提出的控制策略对PMSM位置伺服系统进行控制具有良好的鲁棒性能和快速性。

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