MZMNNLzipa

自适应滤波中的最小均方误差算法（LMS)仿真程序，可以绘制梯度曲线.(Adaptive filtering in the minimum mean square error algorithm (LMS) simulation program, you can draw the gradient curve.)

matlab中的siso设计工具，讲的比较细致！(siso design tools in matlab speak carefully!)

matlab机器人工具箱最新版robot9.8，里面有关于该工具箱的各方法的详细介绍的pdf文件。(matlab Robot toolbox latest version robot9.8, there are various methods descripted on the toolbox pdf file )

用于混沌时间序列自适应预测的一种稀疏Volterra滤波器-(Adaptive prediction of chaotic time series for a sparse Volterra filter-)

说明：  平面板杆结构有限元分析，包中有详细的WORD文档说明(Flat panel rod finite element analysis)

代码是用于实现质心定位算法和加权质心定位算法，代码在matlab2012b下调试通过，希望对下载君有所帮助。(The code is for Centroid Positioning Alogrithm and weight Centroid Positioning Alogrithm,which all were debuged successfully in matlab 2012b,and I hope this will be help for you.)

inverter control pwm system

关于滑模控制的自主车辆轨迹规划，挺详细的，可以学习下，加油！(Trajectory Planning for Autonomous Vehicles using Sliding Mode Control)

In statistics, an expectation-maximization (EM) algorithm is a method for finding maximum likelihood or maximum a posteriori (MAP) estimates of parameters in statistical models, where the model depends on unobserved latent variables. EM is an iterative method which alternates between performing an expectation (E) step, which computes the expectation of the log-likelihood evaluated using the current estimate for the latent variables, and a maximization (M) step, which computes parameters maximizing the expected log-likelihood found on the E step. These parameter-estimates are then used to determine the distribution of the latent variables in the next E step.

说明：  it is a very good way to use matlab simulink for analysis of control systems in nature