test

Firefly Algorithm for Constrained Optimization (Other Files fa_mincon.m, firefly_simple.m, license.txt )

说明：  simulink 讲解了simulink的主要功能，比较详细(simulink)

GA遗传算法与PSO离子群组合算法matlab程序，以下是使用本程序的简单介绍与使用步骤 1）修改设计变量个数 NPar变量定义的是设计变量个数，本例为8，使用时需根据自己实际情况进行修改。 2）修改设计变量的上下限 VarLow 与VarHign定义的是设计变量的上下限，使用时需根据自己实际情况进行修改。记住，变量的维数，要与1）变量个数一致哦。 3）修改FunName 变量FunName定义的是优化目标函数值的计算函数，根据自己实际情况改成自己的函数名。 4）修改最大迭代次数MaxIterations 要根据自己的问题实际，通过试算找出合适的MaxIterations数。 如果，你对GA与PSO比较精通，还可以通过修改KeepPercent、CrossPercent来提高算法的效率，但是对于初学者来说，上述的步骤与操作已经足够，所以其它不再赘述。祝你好运！ (GA genetic algorithm and PSO Ion combination algorithm matlab program, the following is a brief description of the use of this procedure with the use of step a) to modify the design variables are defined by the number of NPar variable number of design variables, in this case eight, when used according to need their actual situation changes. 2) modify the design variables on the lower limit is defined VarLow and VarHign upper and lower limits of design variables need to be modified when used according to their actual situation. Remember, dimensions variable, the number to be with a) variable consistency oh. 3) Modify FunName variable FunName definition is to optimize the objective function value calculation function, according to their actual situation into their own function name. 4) Modify the maximum number of iterations MaxIterations issue according to their actual, through spreadsheets to find the appropriate number MaxIterations. If you are more proficient GA and PSO, but also can)

从曲线中检测到其峰值：先利用二次求导得到所有凸点，设置门限，去除过低的凸点，然后利用滑动窗的方法，在凸点中求得满足峰值要求的点(Detected from the curve to its peak: the first use of the second derivative method to get all the bumps, set the threshold too low to remove the bumps, and then use a sliding window, obtained in a bump to meet peak requirements of point)

针对一组数据的分类方法，在matlab中实现，从中可以观察到数据之间的联系(For a set of data classification method, implemented in matlab can be observed from the data to the link between)

说明：  系统辨识与自适应理论在matlab中的应用，内含源代码(Application of system identification and adaptive theory in MATLAB, including source code)

This is model for Permanent magnet synchronous motor by using SVPWM This is done using vector control technique PMSM is made sensorless with the help of sliding modle observer

Derive current and voltage an electric circuit with Euler Lagrange formulism

说明：  在simulink中搭建永磁同步电机模型，并采用三环控制对其进行位置控制。(The permanent magnet synchronous motor model is built in Simulink, and its position is controlled by three loop control.)

classification parameter estimation