LMS_RLS_MVDR_SMI

说明：  matlab中的关于优化问题实验方面的例子和程序(matlab optimization problems in the experiments on the examples and procedures)

HV non compesated line program

基于matlab的SOFC的建模,用simulink的自带模块进行建模(modeling of SOFC)

主要用于各种的状态估计滤波，在目标跟踪和定位方面有很强的应用，在实际项目中有应用的范例(Mainly used for a variety of state estimation filter, target tracking and positioning in a strong application in practical projects are examples of applications)

现代通信系统matlab版源代码 常用于与matlab相关的通信系统仿真 比如滤波器等(Matlab version of modern communication systems commonly used in the source code associated with the matlab simulation of communication systems such as filters, etc.)

三维齿轮运动仿真 非常形象 逼真 适合matlab大牛(inter gear )

(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.)

VC和Matlab混合编程总结 VC和Matlab混合编程总结(VC and Matlab programming concluding mixed mixed VC and Matlab programming summary)

对通信中应用广泛的Kalman滤波进行matlab编程，并且得到的滤波效果比较理想，恢复的信号误码率可以达到很低。(Widely used for communications in the Kalman filter for matlab programming, and get the filter effect is ideal to restore the signal can reach very low bit error rate.)

encryption and decryption of text data papers