wavelets

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. )

级联码simulink模型,OFDM系统误码率分析(concatenated code in simulink)

Reciprocating compressor vibration signal spectrum analysis and fault diagnosis往复式压缩机振动信号频谱分析与故障诊断.pdf

matlab程序，遗传算法解决经典的TSP(旅行商)问题(Matlab procedures, genetic algorithm to solve the classic TSP salesman problem (TSP))

adaptive protocol for shortest path.........................

说明：  将模糊自适应控制与PID控制算法结合起来，建立模型并利用simulink进行仿真。(Combining fuzzy adaptive control with PID control algorithm, the model is built and simulated in simulink.)

介绍回归问题中高斯过程的应用，C. E. Rasmussen & C. K. I. Williams, Gaussian Processes for Machine Learning,(Gaussian regression problem introduced in the application process, CE Rasmussen & CKI Williams, Gaussian Processes for Machine Learning,)

简单的贝叶斯分类器的Matlab实现，并提供了三个实例(Simple Bias classifier Matlab implementation, and provides three examples)

一阶AR模型使用LMS算法，使用M=2，M=3两种滤波器，步长已选择(A first-order AR model uses the LMS algorithm, M = 2, m = 3 two filters, the step size has been selected)

说明：  Simulation of MTPA-based FOC for PMSM