idea

离散论域模糊控制表的离线计算.已知单变量两维输入，一维输出模糊控制器，其两维输入为E，EC，一维输出为I，论域均为E，EC，I∈{-6，-5，-4，-3，-2，-1，0，1，2，3，4，5，6}，E的论域划分为{NB，NM，NS，NZ，PZ，PS，PM，PB}，共8个模糊子集(Discrete domain of fuzzy control table offline computing. Known univariate two-dimensional input, one-dimensional output fuzzy controller, the two-dimensional input of E, EC, one-dimensional output as I, on the field are E, EC, I ∈ {-6,-5,-4,-3,-2,-1,0,1,2,3,4,5,6}, E of the domain is divided into {NB, NM, NS, NZ, PZ , PS, PM, PB}, a total of eight fuzzy subset)

计算电路矢量值，本代码主要计算电路的电流傅里叶矢量，稍加修改就可以用于求电路的电源傅里叶矢量(compute circuit vector)

说明：  中继位置不同 分配功率相同 的放大协同通信 基于蒙特卡洛仿真(Relay different positions assigned the same zoom power cooperative communication based on Monte Carlo simulation)

方差分析法 应用统计学家Fisher在20世纪20年代最先提出了可同时比较多个正态总体均值是否相等的方差分析法。 本文通过几个案例来讲解方法分析法的应用(Analysis of variance application statistician Fisher first proposed in the 1920s, can simultaneously compare multiple normal population mean is equal to the analysis of variance. In this paper, several cases to explain the application of the method of analysis)

很实用的滤波算法，使用MATLAB编制，通用低通滤波器。(Very practical filtering algorithm, using MATLAB preparation, general low-pass filter.)

说明：  很重要的指纹识别算法是基于matlab下的配合调用matlab的gui界面,使用这种算法可以提高matlab的运算效率。(the code base on the matlab and it will do well in gui in matlab if you use it you will find good way to identify the picture of finger)

NON LINEAR SYSTEM RESOLVER APPROACH

对matlab数学建模进行了系统的介绍。并配有大量的案例一共学习。适用于初学者(Matlab mathematical modeling for the system were introduced. And total Peiyoutailiang case study. For beginners)

The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order (The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order)

遗传算法的源程序,包括选择、交叉、变异等子程序(Genetic algorithm source code, including the selection, crossover and mutation subroutine)