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abs的pid控制，自己编的，没有优化。可以运行！(abs of pid control, their series, not optimized.you can run it!)

丰富的matlab函数库，可以作为参考资料(Matlab function library, can be used as reference material)

本书介绍了低复杂度的MIMO检测算法，并有伪代码，适合初学者(This book is written by Lin_Bai, Jinho_Choia, talking about low complexity MIMO Detection Algorithm)

非线性几何的matlab程序，使用matlab进行了仿真。程序代码简洁，有详细注释(Nonlinear geometry of the matlab program, the use of MATLAB simulation. The code is simple, there are detailed notes )

仿真2*2MIMO通信系统ML、ZF、MMSE检测算法性能，给出三种检测算法的误比特率。(Multi-input multi-output (mimo) communication system simulation 2* 2 ML, ZF and MMSE detection algorithm performance, the bit error rate of three detection algorithms is given.)

位置指令为幅值为1.0的阶跃信号，r（k）=1.0。网络结构为1-4-1，高斯函数的参数值取Cj=[-2 -1 1 2]T ，B=[0.5 0.5 0.5 0.5]T 。 网络权值学习参数为η=0.30，α=0.05 。PID控制各参数的初RBF网络控制，被控对象为G（s）= 取采样时间为1ms，采用Z变换进行离散化，离散化后的被控对象为 y(k)=-den(2)*y（k-1）-den(3)*y(k-2)+num(2)*u(k-1)+num(3)*u(k-2) 始值为，kp=20， kd=0.3， ki=0.1。 (Position command for the step signal amplitude of 1.0, r (k) = 1.0. The network structure is 1-4-1, the Gaussian function parameters taken Cj = [-2-1 1 2] T, B = [0.5 0.5 0.5 0.5] T. Weight learning parameter η = 0.30, α = 0.05. PID control parameters at the beginning of each RBF network control, the controlled object is G (s) = take the sampling time is 1ms, using the Z transform discrete, discretized controlled object is y (k) =-den (2)* y (k-1)-den (3)* y (k-2)+num (2)* u (k-1)+num (3)* u (k-2) initial value, kp = 20, kd = 0.3, ki = 0.1.)

finite difference scheme for simple harmonic oscillator

Dear colleagues! I uploaded sample code for SIMPLE-algorithm and solving lid-driven cavity flow test. 2-D Lid Driven Cavity (Matlab)

PSAT包含了：PF-潮流计算；CPF-连续潮流；OPF-最优潮流；SSSA-小扰动分析；TDS-时域仿真；GUI-用户人机界面；GNE-自定义模型等功能。该工具包已经可以计算上千节点规模的系统。而且该软件包源代码完全公开，因此用户可以根据自己的研究兴趣编写修改相应源代码实现研究目的。(PSAT includes: PF-flow calculation CPF-continuous fashion OPF-OPF SSSA-small perturbation analysis TDS-time domain simulation GUI-user machine interface GNE-custom models and other functions. The kit can have thousands of computing nodes scale systems. And the package source code is completely open, so that the user can modify the source code to write research purposes according to their research interests.)

这是一个LDA主题模型的matlab代码，可进行中文模糊聚类分析，内涵说明，可直接使用。(This is a topic LDA model matlab code, can be Chinese fuzzy clustering analysis, meaning that can be used directly.)