rrt_toolbox-master

this package is binary Decision Tree code implement in matlab.

一个关于matlab优化工具箱GOT中的遗传算法函数（GA）和全局优化算法函数（Globalsearch）优化能力的小对比，前者寻优快，但是结果不稳定，在风电场协同有功出力优化上面甚至可能比不过传统的单个风机层面的优化。后者计算量大，耗时较长，但是每次计算结果稳定，较传统单台风机层面优化有少量的提升。Tips:1,本文风场的建模只是采用了PARK模型，实际风场的气动过程应该还要复杂一些，未经实际风场验证，权当是工程优化入门 2,单个风机层面的功率系数Cp参数来源于NREL 5MW模型，跟实际叶片气动性能有关，可靠性未知。3,这种风场级别的协同优化主要考虑尾流因而更加适用于地形较平坦的风电场。《基于风机运行参数协同设定的风电场有功出力优化》是部分由这个程序支撑的，欢迎交流。(The classical operation strategy of a wind farm works with a principle that each wind turbine converting as much aerodynamic power as available the incoming airflow. But this does not guarantee that the power converted by the whole wind farm be a maximum due to the wake effect. Unlike the conventional operation, this paper proposes the collaborative setting of the operation point of each turbine so that the overall production of the wind farm is maximized. The optimization is performed by Matlab Global Optimization Toolbox(GOT) based on a PARK wake model accompany with the area-weighted quadratic sum method. The strategy was proved applicable in many cases by sensitivity analysis. As an important side effect, the proposed method also allows decreasing the added turbulence, hence the mechanical load produced by wakes. As a consequence, the overall wind farm availability is increased. )

说明：  lagrange的M文件，在数学最优问题中，拉格朗日乘数法（以数学家约瑟夫·路易斯·拉格朗日命名）是一种寻找变量受一个或多个条件所限制的多元函数的极值的方法。(M file of Lagrange,In mathematical optimal problems, Lagrange multiplier method (named after mathematician Joseph Louis Lagrange) is a method to find the extremum of multivariate functions whose variables are limited by one or more conditions.)

包含了OFDM同步的传统方案，及相关算法的同步算法，还包括改进方案和理想同步方案，并且作图(This program includes OFDM code synchronized algorithm)

Pitch-synchronous synthezis by cepstral model of 5th order.

This is a Modified Sinusoidal PWM Technique for Gate drive os Inverters in MATLAB Simulink.

这是IEEE电力系统标准14-30-57-118节点图！(This is the IEEE standard 14-30-57-118 power system node figure! )

cocos 2d sample using simple tile operations.

在滤波过程中，即使信号与噪声的自相关函数随时间缓慢变化，DF也能自动适应，自动调节到满足均方误差最小的要求(lms)

特征提取实例中的确定圆形目标源程序，能有效提取出图像中的圆形目标，并标记(Feature extraction instance to determine circular target source, can effectively extract the image of circular target, and mark)