case10

说明：  一个多输入多输出（mimo)系统的仿真matlab程序，希望对大家有所帮助(a multi-input multi-output (MIMO) systems Matlab simulation procedures, we hope to help)

CONTROL OF DC MOTOR USING BUCK BOOST CONVERTER

说明：  把激光陀螺捷联惯导系统和GNSS接收机固联于实验车实验仓中，接收机天线固联在实验车实验仓上方，车载计算机实时接收和采集惯导系统、卫星导航接收机的原始数据，在郊外开阔公路进行车载实验。 通过matlab编程实现卫星导航伪距单点定位、INS/GPS松组合导航的全过程。 1）卫星导航单点定位测速：利用采集得到的接收机时间、伪距、多普勒频移数据，要求进行单点定位、测速解算，输出接收机的位置、速度随时间的变化曲线，并给出位置、速度误差曲线； 2）松组合导航：结合惯导解算和卫星接收机单点定位测速，要求采用Kalman滤波器实现惯导/卫星位置、速度组合导航解算，滤波器维数至少包括惯导的位置、速度、姿态角9维。将组合导航后的姿态角与纯惯导的姿态角进行对比分析，给出位置、速度误差曲线。(The laser gyro strapdown inertial navigation system and GNSS receiver are fixed in the experimental compartment of the experimental vehicle. The antenna of the receiver is fixed above the experimental compartment of the experimental vehicle. The on-board computer receives and collects the original data of the inertial navigation system and satellite navigation receiver in real time, and carries out on-board experiments on the suburban open highway.)

说明：  SIMULINK仿真模型，介绍基本的MMC(模块化多电平换流器）仿真模型，用于柔性直流运输控制(modular multilevel converter)

非常好的MATLAB-KALMAN工具包，KPMstats is a directory of miscellaneous statistics functions written by Kevin Patrick Murphy and various other people(MATLAB-KALMAN very good kit, KPMstats is a directory of miscellaneous statistics functions written byKevin Patrick Murphy and various other people)

新三步搜索算法对三步算法进行了适当的改进，在一定程度上弥补了TSS算法在估计细小运动时的不足，并加入了半途中止的策略，进一步提高了搜索精度 (The new three-step search algorithm for three-step algorithm to improve the appropriate, to a certain extent make up for the TSS algorithm in estimating the inadequacy of a small movement, and joined the mid-suspension strategy to further improve the search accuracy)

本程序描述的是如何用MATLAB语言来编写带通随机过程样本的产生(theproduceofband-passrandomprocesssample)

steepest decent and LMS algorithm in adaptive filters

模糊PID控制的matlab仿真模型，已通过试验，课成功运行，主要是用来控制机器人自动导航。(Matlab simulation model based on fuzzy PID control, has passed the test, lesson successful operation, is mainly used to control the robot autonomous navigation.)

bdpca face recgnition...............