electromotor_servo_control

共轭梯度法是介于最速下降法与牛顿法之间的一个方法，它仅需利用一阶导数信息，但克服了最速下降法收敛慢的缺点，又避免了牛顿法需要存储和计算Hesse矩阵并求逆的缺点，共轭梯度法不仅是解决大型线性方程组最有用的方法之一，也是解大型非线性最优化最有效的算法之一。(Conjugate gradient method is between the steepest descent method and Newton method between a method that only use the first derivative information, but the steepest descent method to overcome the disadvantage of slow convergence, but also avoids the need to store and calculate Newton Hesse matrix and the shortcomings of the inverse, conjugate gradient method is not only linear equations to solve large-scale one of the most useful, large-scale nonlinear optimization solution is also the most efficient algorithms.)

Matlab遗传算法工具箱函数及实例讲解。(Matlab genetic algorithm toolbox functions and examples to explain.)

电力系统PQ潮流计算 基于直角坐标 注意输入数据文档的格式(PQ power system power flow calculation based on a Cartesian coordinate attention to the format of input data files)

基于卡尔曼滤波器的交互多模估计器，含有两个模型，跟踪误差计算完成(Interactive multi-mode estimator based on the Kalman filter contains two model tracking error calculation is complete)

finite element method

Tracking control of a mobile robot with

An Adaptive Diagnostic Observer(adaptive observer-based FE method)

利用matlab实现下面的问题：其中u(k)和z(k)分别为模型的输入和输出变量；v(k)为零均值、方差为1、服从正态分布的白噪声；为噪声的标准差；利用得到的u(k)和z(k)来辨识模型的阶次和参数。　　(Using matlab to achieve the following questions: where u (k) and z (k) respectively, the input and output variables of the model v (k) with zero mean and variance 1, follow a normal white noise noise standards Poor utilization u (k) and z (k) to identify the order and parameters of the model.)

此程序实现的是四幅不同曝光图像的图像融合，它使用分块的方法，比较各个块的熵值，然后，由熵值最大的块组成图像。(To achieve the function of this program is four different exposure image fusion image first four image block is to compare their entropy values, select the entropy of a larger block composite image .)

实现数据的高通、带阻、低通的数字滤波。 非常适合初学者使用(Data of high-pass, band stop, low-pass digital filtering. Very suitable for beginners to use)