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倒立摆的源代码希望对你有用，分享一下看看，希望对你有用(The source code for inverted pendulum useful to you want to share it and see, you want to be useful)

一种自适应的单高斯算法，运动目标检测，使用环境是matlab。(An adaptive algorithm for a single Gaussian, moving target detection, the use of the environment is matlab.)

针对风电场短期风速的预测提出一种基于小波变换的组合预测方法。首先利用Mallat 算法对短期风速时间序列进行db3 小波三层分解与重构，得到短期风速时间序列的近似分量和细节分量。针对近似分量和细节分量的不同特性，对近似分量利用粒子群算法优化的最小二乘支持向量机进行预测，对细节分量利用自回归求和滑动平均模型进行预测。最后各预测模型预测值组合叠加得到最终的短期风速预测值。仿真结果表明该方法具有较高的预测准确度。(In order to improve short-term wind speed prediction accuracy of wind farms，a combined prediction method based on the wavelet transform is proposed. Firstly，the db3 wavelet is used for three-layer decomposition and reconstruction for short-term wind speed time series through Mallat algorithm. The approximation components and the detail components of the short-term wind speed are then obtained. Next，according to the different characteristics of these components，the least square support vector machine optimized by particle swarm algorithm and the autoregressive integrated moving average model are adopted as the predictivemodels for the approximate components and the detail components respectively. Then，the final predictive value of the short-term wind speed is obtained by the combination of the two components. The simulation results indicate that higher accuracy can be obtained in this prediction method.)

说明：  地球绕圆心的运动，对各位应该有启发地球绕圆心的运动(The Earth' s movement around the center of a circle, there should be instructive for you)

如何利用matlab中的Simulink搭建模型，仿真实例详解(How to build a model, simulation examples in matlab Simulink Detailed)

包含两种针对风电机组的MPPT算法：经典MPPT；风速湍流作为搜索信号的MPPT(contains 2 applications corresponding to the two types of MPPT algorithm: the classical one, using the hillclimbing method, and another one, which uses extremum seeking control methods)

This is a source code for qam modulation without using MATLAB built-in function

ELSEVIER上关于Retinex图像增强算法的最新文章(ELSEVIER About Retinex image enhancement algorithm on the latest articles)

Count correlation of discrete signals

Global Optimization Toolbox provides methods that search for global solutions to problems that contain multiple maxima or minima. It includes global search, multistart, pattern search, genetic algorithm, and simulated annealing solvers. You can use these solvers to solve optimization problems where the objective or constraint function is continuous, discontinuous, stochastic, does not possess derivatives, or includes simulations or black-box functions with undefined values for some parameter settings.