script16psk_ser

In this paper, new scheme of direct torque control of induction motor for electric vehicles is proposed and the results of an investigation into suitable torque control schemes are also presented. The electric vehicle drive consists of rewound induction motors and a three-level IGBT inverter. The schemes investigated are Field Oriented Control, Direct Torque Control (DTC), and DTC using Space Vector Modulation. The results of Matlab - Simulink simulations and a comparison between the control schemes are presented. It is found that the DTC using Space Vector Modulation scheme is best for this application.

explicit algorithms matlab code fro state university of new york in the united states

FSK调制解调MATLAB源代码，很不错，值得看看(FSK modulation and demodulation MATLAB source code, very good, worth a look)

电力系统传统电网结构下潮流方程中雅克比矩阵的生成程序(Traditional power system grid structure under flow equations Jacobian matrix generation program)

用matlab实现motor运动控制的控制器设计仿真，包括有状态方程建模、levy拟合法、阶跃响应方波转换等方法。(Using matlab to achieve motion control motor controller design and simulation, including the equation of state modeling, levy to be legitimate, step-response methods such as square wave conversion.)

This package implements basic Principal Component Analysis and Eigen Faces in Matlab and tests is with grayscale portion of the FERET database. Images are not preprocessed and it is up to the user to preprocess the images as wanted, not changing the filenames.

说明：  在共梯度法中 只有当初值的选取靠近最优解时 迭代才会收敛 当远离时发散 且 当精度控制为0.1时可以实现 但设为0.01时就实现不了(numubrical)

matlab学习教程，从入门到精通，适合初学者，编程仿真介绍比较全面(Matlab tutorial, entry to the master, suitable for beginners, the program simulation introduced more comprehensive)

汽车发动机万有曲线绘制，等燃油消耗率曲线和等功率曲线的三维拟合图(Automobile engine all curve drawing )

以实际所测随机中子脉冲数据的自相关函数为研究对象，借助仿真实验，开展Elman神经网络对不同浓度核材料进行识别的研究。在实测数据的基础上，通过叠加随机噪声，模拟产生了不同浓度核材料的相关函数样本用于神经网络的训练与测试，实验结果表明，(Calculating the stochastic neutron pulse autocorrelation function with the actually measured data as the research object, we carry out different simulate experiments in concentration identification of varied nuclear materials using Elman neural network. Superimposing random noise on the measured data, we get correlation function samples simulating the different concentrations of nuclear material for training and testing the neural network.)