cycloconverter_single_phase_Step_up

MATLAB学习书籍，感觉很不错 ，看看大家有什么需要的 ，可以下载 。(MATLAB learning books, I feel very good, to see if we need anything, you can download.)

MATLAB潮流计算(MATLAB flow calculation)

一个matlab程序，m序列产生程序, 因为M序列很重要,要的可以下载。(A matlab program, m sequence generation process, because the M sequences is very important, want to download.)

用MATlab实现的神经算法，比较简单，适用于刚学习粒子群算法的人，大家可以交流一下(MATlab neural algorithm, relatively simple, suitable for people new to the study of the particle swarm optimization (pso) algorithm, we can discuss)

非线性滤波器工具箱，国外经典工具箱，可以节省大量精力，非常值得借鉴(Nonlinear filter toolbox, toolbox foreign classics, you can save a lot of energy, very worth learning)

说明：  蚁群算法的matlab源码,包括简单的输入，变量数，目标函数等，最后求得目标的最优解。(Ant colony matlab source code, including the simple input, the number of variables, objective function and so on, the final goal of the optimal solution obtained.)

this code was development by George christakos, Serre, M and Patrick Bogaert for implement the Bayesian Maximun Entropy Approach to enviromental and physical mapping research

利用matlab图像处理计算一维信号的盒维数(Calculated using matlab image processing one-dimensional signal box dimension)

做过模糊PID的朋友很多遇到过这种问题，就是仿真启动不起来，停留在e-7等地方或者仿真很慢，自次上次有个朋友说改变步长能解决这个问题，最后的曲线能达到满足要求的时候，我让他找个例子他就没有后文，以前我做了很多这样的模糊PID，但靠改变步长并没有解决问题，仿真曲线直接发散出去了，我自己这两天也总在思考这个问题，通过不断的调试总结，明白了不少，给遇到这个问题的朋友讲解一下解决办法吧，以一个例子详解：(Done a lot of friends of the fuzzy PID encountered this problem, simulation start up, stay in the e-7 and other local or simulation is very slow, have a friend who said to change the step size to solve this problem since the times the last, the finalcurve to achieve to meet the requirements when I asked him to find examples of his later, I have done a lot of fuzzy PID, but by changing the step does not solve the problem, the simulation curve directly divergence out, Itwo days always thinking about this problem, summarized by the debug and understand a lot of friends to experience this problem to explain the solution, an example Detailed:)

matlab分析控制系统，对线形及非线性系统的鲁棒控制给出了深入研究。(The matlab Analysis control system, gives an in-depth study on the robust control of linear and nonlinear systems.)