siftdescriptormatlab

Artificial Neural Network. Madaline(MR1) code for matlab

AC编码 好好数数够不够二十个字，嗯差不多了(AC coding)

说明：  元胞自动机 数学模型和算法的应用与 MATLAB 实现(Cellular automaton Application of Mathematical Models and Algorithms and MATLAB Implementation)

实用的电子书《偏微分方程的MATLAB解法》，是一部介绍常偏分方程的经典著作，偏微分方程必常微分方程更复杂，是研究非线性科学的必备工具书。(Practical e-book )

二阶耦合系统的解耦控制，前馈解耦，带smith预估补偿解决大滞后问题。(Decoupling control system coupled second order feedforward decoupling.)

关于永磁同步电机DTC系统的无速度传感器，效果还可以(On permanent magnet synchronous motor DTC system without a speed sensor, the effect can also be)

MATLAB实现的单相双闭环ＰＷＭ整流器　　参数设置比较正确　波形出来也不错　就是进入稳态时间比较长(MATLAB to achieve double-loop single-phase PWM rectifier waveform parameters set by the more accurate is also a good time to enter the steady-state long)

matlab图形界面设计，程序已有详细的标注和解释，便于学习。(This presents graphical interface design about matlab, including a detailed annotation and interpretation, to facilitate learning.)

病态线性方程组的计算题，涉及Gauss消元法、雅可比迭代法、高斯-赛德尔迭代法、最速下降法和共轭梯度法。每一个方法，都编写一个m文件，封装成函数的形式。然后通过总的HilbLineEquSet.m文件来调用执行，画出误差曲线图，得到运行结果。总的Matlab程序流程，如下所示： 病态方程组的计算包括：HilbLineEquSet.m、gauss.m、jacobi.m、gauss_seidel.m、fastest_descend.m和conjugated_grad.m六个文件。 程序执行结果包括：求解结果、迭代次数、迭代误差数据、误差曲线图等。 (Morbid Linear Equations calculation problems involving Gauss elimination method, Jacobi' s iterative method, Gauss- Seidel iterative method, steepest descent method and conjugate gradient method. Each method, all the preparation of an m file, packaged in the form of a function. Then the total HilbLineEquSet.m file to invoke the implementation of draw error curve, to be running results. General Matlab program flow, as follows: the calculation of morbid equations include: HilbLineEquSet.m, gauss.m, jacobi.m, gauss_seidel.m, fastest_descend.m and conjugated_grad.m six documents. Procedures for implementation of the findings include: solving a result, the number of iterations, iterative error data, error curve and so on.)

说明：  模拟退火工具箱，程序主体和子函数含大量注解内容，非常适合学习者了解该算法的结构。 (Simulated Annealing toolbox, procedures and Functions with the main contents of a large number of comments, very suitable for learners to understand the structure of the algorithm.)