Avg

基于阶跃响应的预测控制算法。采用不同的模型形式、优化策略和反馈措施形成的预测控制算法。(Predictive control algorithm based on the step response. Using different forms of models, optimization strategies and feedback measures to predict the formation control algorithms.)

应用MATLAB语言编写低通滤波器,对含噪图像作低通滤波处理( Using the MATLAB language compilation low pass filter, to contains chirp the image to make low-pass filtering processing )

license plate recognition and find type of vehicle- private/public

Ensemble Kalman Filter (EnKF) data assimilation methods can be avoided in the EKF covariance forecasting the evolution equation arising in the course of the calculation is not accurate and on the covariance matrix of a large amount of data storage problems

matlab函数逼近程序，里面包括了常用的matlab函数逼近的程序，包括手写的和matlab自还的函数。(matlab function approximation process, which includes the commonly used matlab function approximation procedures, including hand-written and self is also a function of matlab.)

Power factor correction for PSAT

simulation of Gearbox with a fan

SSwatermarking code for multimedia security to watermark an image with this code.

OFDM SPACE TIME BLOCK CODE MIMO MIMO PDF

(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.)