magnetic_levitation

MM1排队系统的matlab仿真。整个系统的仿真采用了离散事件系统仿真，并统计稳态分布、平均队列长度，等待时间的分布以及平均等待时间等值，以与理论分析结果进行对比，得到了较为满意的结果，同时还完成了统计曲线的绘制并进行了分析。(MM1 queuing system with matlab simulation. The simulation of the entire system using discrete event simulation, and statistical steady state distribution, the average queue length, waiting time distribution and the average waiting time equivalents, compared with the theoretical analysis, have been more satisfied with the results, and also completed statistical curve is drawn and analyzed.)

用于解决最短路径问题的算法被称做“最短路径算法”， 有时被简称作“路径算法”。 最常用的路径算法有： Dijkstra算法(The shortest path algorithm is used to solve the problem is called the " shortest path algorithm," sometimes referred to as a " path algorithm." The most common path algorithm: Dijkstra algorithm)

1. 608组样本，第一列数字是标号，第二列数字是出现损坏的时间，第三列表示数据有效性，为0有效 2. 损坏时间是对数正态分布的，需要拟合 3. 求均值80%置信区间 4. 成本为m，价格为s，保证盈利20%，选取保修期 5. 比较保修期和拟合数据的均值 6. 若保修期就是拟合损坏时间的均值，求出利润率 loadd.m：加载样本数据，并选取有效数据 period.m：加载成本、价格数据，计算利润和保修期的关系(1.608 groups of samples, the first number is the label, the second column number is the time to appear damage, the third list shows the validity of the data, which is 0 effective. 2. damage times are logarithmic normal distribution and need to be fitted 3. mean in 80% confidence interval 4. the cost is m, the price is s, the profit is 20%, the warranty period is selected. 5. compare the mean value of the warranty period and the fitting data 6. if the warranty period is to fit the mean damage time, the profit rate is calculated. Loadd.m: load the sample data and select the valid data Period.m: loading cost, price data, and calculating the relationship between profit and warranty period)

hinflmi robust control for DFIG

采用matlab编写的数值方法总的例题，(Numerical methods using Matlab prepared total example)

说明：  相位片制作，全息图实现,很好的源代码，包括原图重现图(Phase film production, a hologram to achieve)

Instead of that, a modified BCJR algorithm is used. .... open source library for simulating turbo codes in matlab Turbo EqualizationInstead of that, a modified BCJR algorithm is used. .... open source library for simulating turbo codes in matlab Turbo EqualizationInstead of that, a modified BCJR algorithm is used. .... open source library for simulating turbo codes in matlab Turbo Equalization

范数优化迭代学习代码，可以运行，效果非常好(norm-optimal iterative learning control)

Optimization Bee algorithm

共有21章，详细介绍了MATLAB的应用，通过这本书您可以学到MATLAB的方方面面。(A total of 21 chapters, detailing the application of MATLAB, through this book you can learn all aspects of MATLAB.)