paper1

Start with the runlocalization track.m which is the entrance function to your lab. This function reads two les determined by simoutle and maple input arguments which contain information about sensor readings and the map of the environment respectively, runs a loop for all the sensor readings and calls the ekf localize.m to perform one iteration of EKF localization on the readings and plots the estimation(red)/ground truth(green) and odometry(blue) information.(This lab consists of two parts: 1. A preparatory case study with a standard Kalman lter where you learn more about the behavior of the Kalman lter. Very little extra code is needed. 2. The main lab 1 problem in which you need to complete an implementation of an Extended Kalman lter based robot localization.)

SIMULINK入门课件,入门者可以参考一下(Introduction to SIMULINK Courseware)

The Best Blind MMSE Estimator

这是一个用来计算2维光子带的matlab程序。可分别计算TM 和TE模式平面波入射下的场分布。(This is a program to calculate the Photonic Bands of two dimension。The field excited by TM and TE mode plane wave incident can be calculated.)

说明：  无线通信原理系统应用中用到的MATLAB仿真，对与学习无线通信原理及MATLAB都很有帮助滴(pricinples of communication system simulation with wireless aplications with MATLAB)

给定很多数据点之后找这些类的聚类中心，然后重新分类。(Given after a lot of data points to find these kind of cluster center, and then reclassified.)

MATLAB_SIMULINK MATLAB_SIMULINK 编程方法，优秀的入门资料。(MATLAB_SIMULINK MATLAB_SIMULINK programming methods, excellent introductory information.)

包含飞行器飞行中的姿态控制，如侧滑角，倾斜角，滚转角，俯仰角，与理论分析结果相比，DSmT证据推理的组合公式计算函数。( It comprises aircraft flight attitude control, such as slip angle, tilt angle, roll angle, pitch angle, Compared with the results of theoretical analysis, Combination formula DSmT evidence reasoning calculation function.)

运用人工神经网络技术预测风速，主要介绍了神经网络的实现方法，以及预测结果的比较(The use of artificial neural network technology forecasting wind speed, mainly the realization of a neural network method and the comparison of predicted results)

实现迭代学习控制的simulink数学模型，设置PID参数，可以跟踪期望轨迹(Iterative learning control to achieve the simulink model, set the PID parameters, you can track the desired trajectory)