numerucal-methods-to-solv-deff-equations

电力电子、电机控制的仿真模型，异步电机无速度传感器控制(The simulation model of power electronics, motor control, induction motor speed sensorless control)

多元数据分析的主分量分析投影，进行逐步线性回归，未来线路预测,分析误差。( Principal component analysis of multivariate data analysis projection, Stepwise linear regression, Future line prediction, error analysis.)

说明：  卡尔曼滤波器，鲁道夫博士设想的。Kalman(1930-2016)提供了一种有效的机制来估计动态系统的状态，当一个模型可以顺序预测状态和顺序测量也是可用的。在许多实际动力系统的研究中，在不同领域中，这是一种常见的情况。(Matlab implementation of Kalman filter)

基于微分器的PID控制matlab文件.控制器的函数微分器的s函数仿真模型(Based differentiator PID control matlab file. The controller function differentiator s function simulation model)

十字交叉阵的波束形成，crossarray beamform(crossarray beamform)

处理数据中有很好的应用，里面有验证函数，可以进行验证。(Processing data has a good application, there are validation functions, can be validated.)

说明：  实现包络谱轴承故障诊断检测，通过matlab实现，可以直接演示(The envelope spectrum bearing fault diagnosis and detection is realized by MATLAB, which can be demonstrated directly)

粒子群优化算法(PSO)是一种进化计算技术(evolutionary computation)，有Eberhart博士和kennedy博士发明。源于对鸟群捕食的行为研究 PSO同遗传算法类似，是一种基于叠代的优化工具。系统初始化为一组随机解，通过叠代搜寻最优值。但是并没有遗传算法用的交叉(crossover)以及变异(mutation)。而是粒子在解空间追随最优的粒子进行搜索。详细的步骤以后的章节介绍 同遗传算法比较，PSO的优势在于简单容易实现并且没有许多参数需要调整。目前已广泛应用于函数优化，神经网络训练，模糊系统控制以及其他遗传算法的应用领域(Particle Swarm Optimization (PSO) is an evolutionary computation technique (evolutionary computation), has Dr. Eberhart and Dr. kennedy invention. Deriving from the behavior of birds of prey PSO with genetic algorithm is similar to an iterative optimization-based tools. System initialization for a group of random solutions, through the iterative search for optimal values. But there is no cross-genetic algorithm used (crossover) and mutation (mutation). But the particles in the solution space of the particles to follow the optimal search. In detail the steps after the introduction sections compared with the genetic algorithm, PSO has the advantage of being simple and easy and did not realize many of the parameters need to be adjusted. Has been widely applied to function optimization, neural network training, fuzzy system control, as well as other genetic algorithm applications)

MATLAB编程（英文影印版第二版），malab编程的经典教材，适合学习与作为工具书查阅(MATLAB programming (English version of the second edition of a photocopy), malab classic programming materials ， the book can be used as a tool for learning)

黄金分割法（0.618）程序，以及进退法选择优化区间(Golden section method (0.618) procedures)