MATLAB-Programming-for-Engineers

本程序涵盖预测控制模糊控制等多个知识点运行效果良好(This procedure covers the fuzzy control, predictive control point running well over knowledge)

simulation of 3_phase rectifier in matlab simulink

在陀螺仪测试中，实现ALLAN方差法分析动态数据，得到五个主要参数(Gyroscope test to achieve the the ALLAN variance analysis of dynamic data, five main parameters)

TH-UWB信号的产生，有随即信号发生器，脉冲位置调制等部分组成。(TH-UWB signals generated, then signal generator, pulse position modulation, and other components.)

内容涵盖最优控制系统的设计方法，稳定性，稳态性能指标，动态性能等方面的详细分析(Detailed analysis covers the design of optimal control systems, stability, steady-state performance, dynamic performance)

现代数字信号处理，自适应谱线增强，求解自相关函数，输入输出信号作比较。(Modern digital signal processing, adaptive line enhancement, solving autocorrelation function, input and output signals for comparison.)

模块化并联有源电力滤波器Modular Parallel Active Power Filter(Modular Parallel Active Power Filter)

研究了汽车制动过程中车速、轮速等的变化过程和影响因素；以化整为零的思想，研究得到制动过程中各物理量间的微分方程关系；进而建立在ABS下的数学模型；继而通过使用simulink建立仿真模型；采取逻辑门限的控制方法，综合仿真的整个动态变化过程；得到车速、轮速、滑移率、路面附着系数和制动距离随时间的变化曲线；最后利用图像分析的方法对各物理量进行分析、比较，对比有无ABS系统下制动距离的变化，得出使用ABS控制策略能显著缩短制动距离，提高制动安全性。数据分析和处理主要应用MATLAB软件。(The braking dynamics model of quarter vehicle ABS is established. It simulates the dynamic behavior of a vehicle under hard braking conditions. We researched the change of the vehicle speed and wheel speed during the vehicle braking. According to Newton s first and second law, then dfferential equations are obtained, so we get the Mathematical model. Next the response of the system is simulated by using Simulink in MATLAB . Based on the logic threshold control, we get the curve that Speed, wheel speed, slip ratio and road adhesion coefficient and brake distance changes over time. Contrasting with ABS or without ABS , using the ABS control strategy can significantly shorten the braking distance. Data analysis and processing mainly used MATLAB software.)

ICP fit points in data to the points in model. Fit with respect to minimize the sum of square errors with the closest model points and data points. Ordinary usage: [R, T] = icp(model,data) INPUT: model - matrix with model points, data - matrix with data points, OUTPUT: R - rotation matrix and T - translation vector accordingly so newdata = R*data + T . newdata are transformed data points to fit model see help icp for more information (ICP fit points in data to the points in model. Fit with respect to minimize the sum of square errors with the closest model points and data points. Ordinary usage: [R, T] = icp(model,data) INPUT: model- matrix with model points, data- matrix with data points, OUTPUT: R- rotation matrix and T- translation vector accordingly so newdata = R*data+ T . newdata are transformed data points to fit model see help icp for more information )

利用jacobi法求解病态线性方程，其中矩阵为hilbort矩阵(Jacobi method used to solve ill-linear equations, including matrix hilbort matrix)