work

matlab beginners guide

MATLAB code for all of the examples in the text is supplied with the CompEcon Toolbox

求解线性规划问题，简单的求解以及多远线性规划的求解，(To solve the linear programming problem solving and simple, how far solution of linear planning )

Digital Signal and Image Processing Using MATLAB - Gerard Blanchet & Maurice Charbit

模糊控制PID在SIMULINK中的实现与具体操作细节(fuzzy control)

给定2个点坐标，计算其连线与水平方向的夹角，夹角范围[0,2*pi](failed to translate)

说明：  一个车牌定位的程序,经过运行了,定位的效果比较好(Locate a license plate program, after running, the effect of better positioning)

matlab画圆形，然后四周涂成其他颜色--换言之，可以画出口面场的分布情形，非常形象逼真(matlab draw round, and then painted the other colors around- in other words, can draw the distribution of farm export side, a very vivid)

learn AR process

(不错的一篇文章，已被EI收录)模型预测控制（model predictive control，MPC）路径规划算法适用于三维动态环境下的无人机（un-manned aerial vehicle，UAV）路径规划；动态贝叶斯网络（dynamic Bayesian network，DBN）能够有效推理战场态势，对无人机进行威胁评估。针对威胁尾随无人机时的路径规划问题，构建 DBN 威胁评估模型，将 UAV 在战场环境中的威胁态势用威胁等级概率表示，与 MPC 路径规划算法相结合，得到基于 DBN 威胁评估的 MPC UAV 路径规划算法。通过多组仿真分析表明，在三维动态环境下，特别是威胁尾随无人机时，基于 DBN 威胁评估的 MPC无人机路径规划算法可以得到有效的无人机路径。(The model predictive control (MPC)path planning algorithm can solve the problem of dynamic unmanned aerial vehicle (UAV)path planning.Dynamic Bayesian network (DBN)is an effective tool for rea-soning and threat assessment.Considering the problem of path planning when the dynamic threat tags the UAV,the MPC path planning algorithm combined with DBN threat assessment is presented,which used the threat lever probability to describe the threat situation.A group of simulations demonstrate the efficiency of MPC three-dimensional dynamic path planning algorithm for UAV based on DBN threat assessment especially when the dynamic threat tags the UAV.)