matlab-programming-for-engineers

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.)

matlab实现的各种优化算法，包括牛顿-拉普森，牛顿-梯度下降等。(matlab optimization algorithm, including newton-raphson, newton-gredient and so on.)

模糊PID控制算法控制系统，先运行fuzz文件把模糊控制器保存在a2里，再运行fuzzc文件。(Fuzzy PID control algorithm control system, first run the fuzz files stored in the fuzzy controller, a2, the re-run fuzzc file.)

用ＭＡＴＬＡＢ实现的关于ＢＣＨ编码的程序原代码(MATLAB BCH code on the program source code)

光伏电池的matlab模型，详细的光伏阵列建模，最大功率点控制(Matlab model of the photovoltaic cells, photovoltaic array modeling and maximum power point control)

Elman神经网络：Elman网络是 J. L. Elman于1990年首先针对语音处理问题而提出来的, 它是一种典型的局部回归网络( global feed for ward l ocal recurrent)。Elman网络可以看作是一个具有局部记忆单元和局部反馈连接的前向神经网络。Elman网络具有与多层前向网络相似的多层结构。它的主要结构是前馈连接, 包括输入层、 隐含层、 输出层, 其连接权可以进行学习修正 反馈连接由一组“结构 ” 单元构成,用来记忆前一时刻的输出值, 其连接权值是固定的。在这种网络中, 除了普通的隐含层外, 还有一个特别的隐含层,称为关联层 (或联系单元层 ) 该层从隐含层接收反馈信号, 每一个隐含层节点都有一个与之对应的关联层节点连接。关联层的作用是通过联接记忆将上一个时刻的隐层状态连同当前时刻的网络输入一起作为隐层的输入, 相当于状态反馈。隐层的传递函数仍为某种非线性函数, 一般为 Sigmoid函数, 输出层为线性函数, 关联层也为线性函数。(Elman neural network: Elman JL Elman network is first proposed for speech processing problems in 1990. It is a typical local regression network (global feed for ward l ocal recurrent). Elman network can be seen as having a forward neural network of local memory unit and local feedback connections. Elman network has a multi-layer multilayer structure similar to the network. Its main structure is a feedforward connection, comprising an input layer, a hidden layer and output layer, which can be connected right learning correction feedback connected by a set of " structural" units, the output value of the memory for the previous time, which connection weights are fixed. In such a network, in addition to ordinary hidden layer, there is a special hidden layer, called an associative layer (or contact layer unit) this layer receives feedback signals the hidden layer, each hidden layer node has an associated layer node corresponding connection. The role of the associated layer is fo)

MATLAB程序，通过3维空间点插值，构建数字地图，可以根据调整点坐标自行构建数字地图。(MATLAB program, through three-dimensional space point interpolation to construct a digital map, you can adjust themselves to build a digital map based on coordinates.)

求梁的频响函数,梁的频响函数,梁的频响函数,梁的频响函数,( frequency response)

说明：  经验模态分解 亲测好用，可以带入自己的数据(Empirical modal decomposition is easy to use and can bring in its own data.)

说明：  reads vectors dynamically