4阶经典Runge-Kutta格式解常微分方程 numerical-simulation

用kalman滤波算法仿真实现2自由度机器人对目标的跟踪（demo2忽略了Jt，demo3包含可Jsita和Jt，估计总雅可比矩阵J的kalman滤波）---机器人视觉伺服(Simulation kalman filter algorithm with 2 degrees of freedom robot target tracking (demo2 ignored Jt, demo3 contains Jsita and Jt, the total estimated Jacobian matrix J of the kalman filter)--- robot visual servo)

用LSM算法来反演雷达海杂波图像，获得海浪的各种特征信息(LSM algorithm used to invert radar sea clutter images, access information about various features of the waves)

端正学习matlab的态度，教你怎么学习matlab (Matlab learning correct attitude to teach you how to learn matlab)

说明：  利用遗传算法对BP神经网络进行了优化，避免陷于局部最优解。直接修改data数据(Genetic algorithm is used to optimize BP neural network to avoid falling into local optimal solution. Modify data data directly)

基于神经计算的增量式PID控制器学习算法。被控对象为非线性控制系统。(keyword：PID controller 、 neural network、MATLAB )

高速铁路路基沉降是一个复杂的系统过程,涉及不同时期、不同工况,选用单一的预测模型不足以反映路基整体的变形规律.Logistic模型及Verhulst模型的曲线均为S形,可以反映全过程的地基沉降与时间的关系.针对路基填筑期和降水期两个时段利用MATLAB软件编制程序计算模型参数,得到Logistic模型和灰色Verhulst模型,进而求得两者的最优加权组合模型.对比结果表明:在路基填筑期由两者的最优加权组合模型预测得到的结果与实测结果较吻合,拟合精度高于单一模型 而在降水期Verhulst模型的预测值更接近实测值,平均相对误差约为1.75％,拟合精度较高.(High-speed railway subgrade settlement process is a complex system involving different times and in different conditions, the choice of a single forecasting model does not adequately reflect the overall deformation of roadbed. Curve Logistic model and Verhulst models are S-shaped, the whole process can be reflected foundation settlement versus time. against roadbed construction period of two hours and precipitation using MATLAB software programming model parameters, the Logistic model and gray Verhulst model, and then get the optimal model of a weighted combination of the two. comparative results indicate : results and experimental results in the roadbed construction period by the weighted combination of the best of both models predicted than the anastomosis fitting accuracy than a single model precipitation predicted value of Verhulst model closer to the actual value of the average relative error approximately 1.75 fitting accuracy.)

DM9000D circuit application

pso算法求解多维矩阵的matlab程序(pso algorithm matlab program for multi-dimensional matrix)

目前，互联网上HHT信号处理技术有 三种实现方式，采用MATLAB编程语言，一种是法国研究者设计的G Rilling 2007 另一种是MATLAB文件交换中心由Alan Tan开发的plot_hht程序包，第三种是台湾中央大学数据研究中心提供的EEMD包。 其中，我使用了plot_hht程序包，其使用了三个终止条件，驻留分量的单调性，极值点与零点的个数相差不超过1，还有黄锷1998经典文献提出的 SD>0.1，单调性的判断，并不是去判定驻留分量是否是单调函数，而是当曲线是双曲线时，循环结束，由于没有考虑端点效应，程序比较简洁，好读懂，大家 学习HHT可以从这个程序包入手，在此抛砖引玉，希冀有人能比较这三种不同的算法的性能和时间复杂度，以及对各种信号的适应性。 (There provides three types of HTT program packages: one developed by France researcher G. Rilling 2007, the other provided by by Alan Tan from Matlab file exchange center and the third one by Taiwan Central University Data Research Center. Please start from the simple one by Tan to learn more.)

AVS Speech Code this code describe AVS sppech code in Matlab