Tap-43

power_svpwm_multiPhasesLevel_sfun.rar,功率电子领域matlab仿真文件，已经验证过，程序运行正常(power_svpwm_multiPhasesLevel_sfun.rar, Power electronics field matlab simulation file, has already been verified, the normal operating procedures)

研究生毕业论文中的一部分MATLAB源代码，实现压缩卡尔曼滤波算法，包含了仿真结果。(Graduate thesis part of the MATLAB source code, to achieve compression Kalman filter algorithm, including the simulation results.)

基于宽带Marr子波的广义S变换程序，与常规S变换相比，时频聚焦性更高。(Generalized S transform broadband Marr wavelet-based program, compared with the conventional S-transform time-frequency focus more.)

说明：  un ejemplo de contar caracteres en leng ensambalador

(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.)

说明：  通用Matlab求出：两个圆的交点坐标(不用solve语句)(Using MatLab program to get the intersection of two circle.)

说明：  适用于方程求根，Newton迭代法。求解方程的根。(Newton method to solve the functions.)

说明：  语言：matlab 实现功能：逻辑回归实现分类 输出：predict_label;ACC(Language: matlab Implementation function: Logistic regression implementation classification Output: predict_label; ACC)

利用神经网络工具箱，实现数据拟合，预测控制(Using neural network toolbox, data fitting, predictive control)

non linear Ant colony optimization for continous problem