ElectromagneticSimulationUsingFdtdSullivan1D

core loss effect with minotoring in matlab

MATLAB中一些常见的问题与处理的方法，英语版的(MATLAB, some common problems and treatment methods, the English version of)

关于MATLAB中图像旋转等内容的一些实例，很有用。(On MATLAB, image rotation, etc. are some examples, very useful.)

说明：  Dynamic and steady state model of Doubly fed induction generator back to back supply for wind energy power system using matlab

说明：  是有关DSP中著名的契比雪夫的窗函数,还是不错的,欢迎使用(DSP is the famous Lease Chebyshev window function, or good, welcomed the use of)

time, the function returns the order Jump to respond to the first (positive) wave peak b1, step response of the second (positive) wave peak b2, step response overshoot sigma, step response of the attenuation ratio of n, the step response of the attenuation rate pusi step response of the decay vibration cycle T, the step response of

MATLAB code to recognise characters

条带式SAR的正侧视仿真，采用RMA算法进行仿真(Striped positive side-looking SAR simulation, the simulation using RMA algorithm)

转载的MATLAB电子书,很适合初学者,内容精要,易学实用(reproduced in MATLAB e-books, are very suitable for beginners, as concise and easy to learn practical)

(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.)