ALCOSP13_0040_MS_Backstepping_El_Fadili

adaboost算法训练,tr_func_handle and te_func_handle are function handles for training and testing of a weak learner, respectively. The weak learner has to support the learning in weighted datasets. The prototypes of these functions has to be as follows.(adaboost train)

Complex Power Flow, param,pfs_gsm, symetrical component with graph ,Symmetrical Fault Analysis ,Ybus and Zbus

Contrast Enhancement Utilities (Image Equalization)

matlab程序，粘滑运动分析，适合分析制动粘滑运动，适合初学者的最经典的程序(matlab program, stick-slip, suitable for analyzing the brake stick-slip, suitable for beginners to the most classic program)

source code for TeeChart ()

matlab program for unit step function

说明：  基于遗传算法寻优参数的支持向量机算法，使得算法的参数达到全局最优，避免陷入具备最小(Support Vector Machine Algorithms Based on Genetic Algorithms for Optimizing Parameters)

雷达截面积————理想导电球的归一化后向散射RCS( normalized backscattering RCS of Perfectly conducting sphere )

TSP问题的模拟退火法求解，能够反推相关城市之间最优函数的求解(TSP )

三电平SVG仿真模型，运行于simulink环境下，采用dq控制策略(Three-level SVG simulation model, running in simulink environment, using dq control strategy)