LOSNLOSIDENTIFICATION

％ DYNMODES calculates ocean dynamic vertical modes ％ taking a column vector of Brunt-Vaisala values (Nsq) at ％ different pressures (p) and calculating some number of ％ dynamic modes (nmodes). ％ Note: The input pressures need not be uniformly spaced, ％ and the deepest pressure is assumed to be the bottom.( DYNMODES calculates ocean dynamic vertical modes taking a column vector of Brunt-Vaisala values (Nsq) at different pressures (p) and calculating some number of dynamic modes (nmodes). Note: The input pressures need not be uniformly spaced , and the deepest pressure is assumed to be the bottom.)

this is a basic pso algorithm in matlab platform,which will help beginer.(pso algorithm is very popular in recent years , hope this example will help you)

matlab 包括遗传变异，交叉等，包括计算结果等等。包括遗传算法。 (matlab yi chuan bian yi jiao cha bao kuo ji suan ji guo deng bao kuo yi chuan suan fa)

粒子滤波算法在非线性系统中得到了广泛的应用，其精度取决于目标概率函数和重要性函数是否相近，并且样本退化问题也影响了算法的性能。针对粒子滤波算法中样本退化的问题，本文提出一种基于奇异值分解的粒子滤波算法。该算法通过使用奇异值分解方法得到的重要性概率密度函数更接近于目标概率分布，降低样本退化的影响，提高了滤波器的精度，然后在列车组合定位系统的数学模型中应用该算法进行仿真实验。 (Particle filter algorithm for nonlinear systems is widely used, its accuracy depends on whether the target probability function and importance of the functions are similar, and sample degradation also affects the performance of the algorithm. For particle filter algorithm sample degradation problem, this paper proposes a particle filter algorithm based on singular value decomposition. The algorithm by using singular value decomposition of the importance of the probability density function method to get closer to the target probability distribution, reduce sample degradation, improve the accuracy of the filter, and then apply the algorithm in combination mathematical model train positioning system simulation experiments. The simulation )

无刷直流电机模型及双闭环控制，很实用，效果良好(Brushless DC motor model and double-loop control, it is practical to good effect)

加权零阶域算法，预测的相对误差大概能控制在5 以内。用于上证指数的预测。(Weighted zero-order domain algorithm to predict the relative error can be controlled within about 5 . For the Shanghai index forecast.)

这里给出了几个可见光通信的MATLAB程序，调制方式采用OFDM调制解调，对于可见光通信的研究者具有重要的参考价值。(Here are a few visible light communication MATLAB program, modulation using OFDM modulation and demodulation for visible light communication researchers have important reference value.)

异步电机无速度传感器控制，包含三个文件，使用matlab内部电机模型(Induction motor speed sensorless control)

Matlab教程第7章，编程与数据分析、整理(Matlab Guide Chapter 7, programming and data analysis, sorting)

用于绘制电动汽车电动机的实际效率，MATLAB m文件(Used to draw the actual efficiency of electric vehicle motors, MATLAB m file)