invkin

Time motion approximation

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:)

用db2、db4小波分解奇异点检测，其中用wnoise产生测试信号(use db2 and db4 detect strange point and wnoise was used to produce test signal)

预测控制与自抗扰结合的经典文献，可参考学习，有一定启发(Predictive control and ADRC combining classic literature, reference study, a certain inspiration)

该程序是基于数值分析的计算的三次样条插值和最佳平方逼近，用c做的，有注释，代码简单，希望能对您有用(The program is based on the numerical analysis of the calculated cubic spline interpolation and best square approximation, with c do, Notes, code simple, hoping to be useful for you)

说明：  使用经典内弹道理论，对单个装药的管状装药进行内弹道计算，包括压力，速度等(Using the classical interior ballistic theory, the interior ballistic calculation of a single charge is carried out, including pressure, velocity and so on.)

美股实时指数 在副图窗口，方便操作与美元有关的相关产品(US stock index for MT4)

the gibbs sampling technique for regressions as in james lesage toolbox

语音识别中的模型和算法：动态时间归正技术（DTW），隐马尔可夫模型（HMM），高斯混合模型（GMM），高斯混合模型（GMM）(Speech Recognition model and algorithms : dynamic time Reformed technology (DTW) Hidden Markov Model (HMM), Gaussian mixture model (GMM), Gaussian mixture model (GMM))

在程序设计和调试过程中①只要在程序中增加类似m或n的循环语句，便可用神经网对三维或三维以上的非线形函数训练，也可以用在复杂系统二个以上独立变量、任意维非线性动态参数的辨识(In program design and debugging process ① similar increase in the program as long as m or n of the loop, you can use the neural network over a three-dimensional or three-dimensional non-linear function of training, can also be used in a complex system, two or more independent variables, any dimension Parameter identification of nonlinear dynamic)