GA路径规划

模糊控制PID算法

EEMD分解（eemd.m）

【实例简介】SVM对数据进行二分类

人工势场法路径规划是由Khatib提出的一种虚拟力法（Oussama Khatib，Real-Time obstacle Avoidance for Manipulators and Mobile Robots. Proc of The 1994 IEEE.）。它的基本思想是将机器人在周围环境中的运动，设计成一种抽象的人造引力场中的运动，目标点对移动机器人产生“引力”，障碍物对移动机器人产生“斥力”，最后通过求合力来控制移动机器人的运动。应用势场法规划出来的路径一般是比较平滑并且安全，但是这种方法存在局部最优点问题。

【实例简介】三电平SPWM调制策略的实现

三相PWM逆变电路(SPWMH_1.mdl)

该文档是使用MATLAB对slam中的一些经典算法进行了仿真

function [modes its]=ceemdan(x,Nstd,NR,MaxIter)% WARNING: for this code works it is necessary to include in the same%directoy the file emd.m developed by Rilling and Flandrin.%This file is available at %http://perso.ens-lyon.fr/patrick.flandrin/emd.html%We use the default stopping criterion.%We use the last modification: 3.2007% % This version was run on Matlab 7.10.0 (R2010a)%----------------------------------------------------------------------% INPUTs% x: signal to decompose% Nstd: noise standard deviation% NR: number of realizations% MaxIter: maximum number of sifting iterations allowed.%% OUTPUTs% modes: contain the obtained modes in a matrix with the rows being the modes % its: contain the sifting iterations needed for each mode for each realization (one row for each realization)% -------------------------------------------------------------------------% Syntax%% modes=ceemdan(x,Nstd,NR,MaxIter)% [modes its]=ceemdan(x,Nstd,NR,MaxIter)%%--------------------------------------------------------------------------% This algorithm was presented at ICASSP 2011, Prague, Czech Republic% Plese, if you use this code in your work, please cite the paper where the% algorithm was first presented.

【实例简介】模糊自适应PID控制算法

【实例简介】异步电机直接转矩控制（DTC）仿真电路图dtc