grey-prediction-model(GPM)

这是正弦信号的图象，付氏变换，以及功率普密度分析，这是信道传输的基础(This is the image sinusoidal signal, Fourier transform, and the general power density analysis, this is the transmission channel basis)

经典的EM算法实现，从外国网站上下来的，希望有用(classical EM algorithm may be helpful)

电力系统潮流分析计算14节点信息提取雅克比矩阵等(Power flow analysis and calculation 14 nodes Jacobi matrix and other information extraction)

详细介绍了遗传算法和群体智能算法程序设计及实例应用(Genetic algorithm and swarm intelligence algorithm was introduced in detail the program design and examples of application )

matlab动态波浪图并带有功能键，点击可调节波浪的跳动快慢(Dynamic wave graph MATLAB and a function key, click on the wave speed can be adjusted. )

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Using ITSE as objective function tuning of PI controller for a plant

主要是Matlab和Simulink相关的资料,包括Simulink使用手册,通信模块之类的。(Matlab and Simulink are mainly related information, including Simulink user manual, such as communication module.)

首先介绍了辐射状配电网三相潮流计算方法，对几种常用的配电网潮流计算方法进行了对比分析，着重介绍了配电网潮流计算中常用的前推回代法的基本原理，并利用Matlab仿真软件编写了相应的潮流计算程序，通过33母线系统对计算程序进行了仿真验证。然后介绍了含弱环网的配电网潮流计算的处理方法，编写了相应的仿真计算程序，并通过算例仿真予以验证。接着介绍了分布式电源并网的几种接口模型以及分布式电源在潮流计算中的数学模型，分析了在潮流计算过程中PQ、PV、PI节点的处理方法，特别是对PV节点的处理方法进行了详细的介绍。最后针对不同分布式电源并网的状况分为四种方案进行了仿真测试，验证了本文所编写的潮流计算方法在处理计及分布式电源的配电网三相潮流的正确性。(First introduced the radial distribution network three phase power flow calculation method for several common distribution power flow calculation methods were compared, highlighting distribution power flow calculation of the basic principles of common forward and backward substitution method, and the use of Matlab simulation software written in the corresponding flow calculation program, through the system bus 33 to a simulation calculation program. Then introduces the method of treating a distribution power flow calculation weak ring, write the corresponding simulation program and simulation to be verified by an example. Then interface model introduces several distributed power grid and distributed power flow calculation in mathematical models, analyzes the trends in the calculation process PQ, PV, PI node processing method, especially for PV node approach a detailed description. Finally different distributed power grid situation is divided into four scenarios simulation test to verif)

matlab遗传算法工具箱函数及实例讲解2 【问题】在－5<=Xi<=5,i=1,2区间内，求解 f(x1,x2)=-20*exp(-0.2*sqrt(0.5*(x1.^2+x2.^2)))-exp(0.5*(cos(2*pi*x1)+cos(2*pi*x2)))+22.71282的最小值。 (matlab genetic algorithm toolbox function and examples to explain the problem [2] in-5 )