Microgrid_pso

数字信号处理 系统文件的编写 库文件可以直接使用。(Digital signal processing system files and the writing of the library files can use directly. )

神经网络中的sofm算法的具体运用及程序实现，很有启发性(Sofm neural network algorithm and procedures used to achieve specific, very enlightening)

mpsk加高斯信道传输模型，分为2PSK,QPSK,8PSK.(Add mpsk Gaussian channel transmission model, is divided into 2PSK, QPSK, 8PSK.)

该matlab仿真是研究生阶段完成的课题成果，能够实现转矩、电流双闭环控制，效果显著。(Speed, current double loop DC speed control system)

kalman滤波算法程序是matlab的程序(An improved adaptive filter state estimation, the effect is definitely a good thing, is to use MATLAB prepared directly in matlab run will be able to see the effect of a perfect filter, adaptive algorithm is sage-husa algorithm, a more traditional filter machine has greatly improved)

这是一种二阶盲源分离算法，算法速度快，程序简单。(This is a second-order blind source separation algorithm, the algorithm fast, simple procedure.)

通信工程专业科学计算与仿真,科学计算与仿真,了解MATLAB的基本知识(Correspond by letter engineering professional science calculation with imitate really, science calculation with imitate really, understand MATLAB basic knowledge )

有关于matlab的程序，均匀光纤布拉格光栅滤波特性仿真程序 (With regard to the matlab program, the uniform fiber Prague grating filter characteristics simulation program)

模糊控制器：利用matlab建立复杂的模糊规则。既可以编写程序实现，也可以使用matlab自带fuzzy工具箱完成。(Fuzzy controller: use matlab to create complex fuzzy rules. Can realize the preparation of procedures, you can also use its own fuzzy toolbox matlab completed.)

若不希望用与估计输入信号矢量有关的相关矩阵来加快LMS算法的收敛速度，那么可用变步长方法来缩短其自适应收敛过程，其中一个主要的方法是归一化LMS算法（NLMS算法），变步长 的更新公式可写成 W（n+1）=w（n）+ e（n）x（n） =w（n）+ （3.1） 式中， = e（n）x（n）表示滤波权矢量迭代更新的调整量。为了达到快速收敛的目的，必须合适的选择变步长 的值，一个可能策略是尽可能多地减少瞬时平方误差，即用瞬时平方误差作为均方误差的MSE简单估计，这也是LMS算法的基本思想。 (Want to estimate if the input signal vector and the relevant matrix to speed up the convergence rate of LMS algorithm, then the variable step size method can be used to shorten its adaptive convergence process, one of the main method is normalized LMS algorithm (NLMS algorithm) , variable step-size update formula can be written W (n+ 1) = w (n)+ e (n) x (n) = w (n)+ (3.1) where, = e (n) x (n) the right to express filter update vector iterative adjust the volume. In order to achieve the purpose of fast convergence, we must choose the appropriate value of variable step size, a possible strategy is as much as possible to reduce the instantaneous squared error, which uses the instantaneous squared error as the mean square error MSE of the simple estimate, which is the basic LMS algorithm思想.)