MOPSO

自己写的快速傅里叶变换，处理N点数据的傅里叶变换，含两个MATLAB的M文件,可直接使用(Fast Fourier Transform, write your own data of the N-point Fourier transform, containing two MATLAB M-files can be used directly)

golden section search method optimization methods and algortihms

粒子群算法，也称粒子群优化算法（Particle Swarm Optimization），缩写为 PSO， 是近年来发展起来的一种新的进化算法(Evolutionary Algorithm - EA)。PSO 算法属于进化算法的一种，和模拟退火算法相似，它也是从随机解出发，通过迭代寻找最优解，它也是通过适应度来评价解的品质，但它比遗传算法规则更为简单，它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作，它通过追随当前搜索到的最优值来寻找全局最优。这种算法以其实现容易、精度高、收敛快等优点引起了学术界的重视，并且在解决实际问题中展示了其优越性。粒子群算法是一种并行算法。 BP（Back Propagation）神经网络是1986年由Rumelhart和McCelland为首的科学家小组提出，是一种按误差逆传播算法训练的多层前馈网络，是目前应用最广泛的神经网络模型之一。BP网络能学习和存贮大量的输入-输出模式映射关系，而无需事前揭示描述这种映射关系的数学方程。它的学习规则是使用最速下降法，通过反向传播来不断调整网络的权值和阈值，使网络的误差平方和最小。BP神经网络模型拓扑结构包括输入层（input）、隐层(hidden layer)和输出层(output layer)。(Particle swarm optimization, also known as particle swarm optimization (Particle Swarm Optimization), abbreviated as PSO, is a new evolutionary algorithm developed in recent years (Evolutionary Algorithm- EA). Kind, and simulated annealing algorithm PSO algorithm is similar evolutionary algorithms, it is also starting a random solution, through an iterative search for the optimal solution, which is also used to uate the quality through fitness solution, but it is simpler than genetic algorithm rules It has no genetic algorithm " crossover" (Crossover) and " variant" (Mutation) operation, which by following the current search to find the optimal value to the global optimum. This algorithm is its easy implementation, high accuracy, fast convergence, etc. attracted academic attention and show its superiority in solving practical problems. PSO algorithm is a parallel algorithm. BP (Back Propagation) neural network is a 1986 team of scientists headed by Rumelhart and McC)

四电平低频情况下MMC控制，带子模块电压波动抑制的控制策略。(Fourth case of low-level control strategies MMC control, tape module voltage fluctuation suppression.)

Apply the Lanczos filter to a real time series, in the frequency space, i.e., using FFT which is faster than applied as a cosine filter in the time space.

system_Newton-Laphson in matlab

对matlab数学建模进行了系统的介绍。并配有大量的案例一共学习。适用于初学者(Matlab mathematical modeling for the system were introduced. And total Peiyoutailiang case study. For beginners)

对离散信号进行数据采集图样对比，进行时域分析(Discrete signals for data acquisition pattern contrast, the time domain analysis)

基于EKF的永磁同步电机直接转矩控制matlab仿真(Permanent magnet synchronous motor direct torque control based on EKF matlab simulation)

使用MATLAB实现香农编码，并计算编码率 (Using MATLAB Shannon coding and coding rate was calculated)