Physical-Modeling-Tutorial-Exercises

用guide编的matlab界面,可以点击图像任意位置截取一小块(Guide prepared by the matlab interface, you can click the image anywhere on the interception of a small piece of)

Rao Blackwellised 粒子滤波在动态贝叶斯网络中的应用(Rao Blackwellised Particle Filtering for Dynamic Bayesian Networks)

matlab 的基带仿真程序，使用二进制信源。加高斯白噪声(the matlab baseband emulator)

Common Spatail Pattern. EEG signal processin

基于RBF神经网络的短期客流预测，开发环境matlab，两个m文件，一个是选择数据的，另一个是主文件(Based on RBF neural network short-term passenger flow forecast, the development environment matlab, two m documents, is a choice of the data, the other is a master file)

This code uses MATLAB s Internal Functions and Memory Preallocations to apply a Fast Implementation of kmeans algorithm. This is a efficient code for clustering a gray or Color image or it can be used for clustering a Multidimensional Array. Comparison. 1. Faster than MATLAB s internal kmeans function. 2. Consistant Output than internal kmeans. 3. 100 convergence.

主要实现并网过程中基于瞬时无功的谐波检测和无功补偿，能够很明显的看出补偿前后的电网电流波形对比图(Mainly realized in the process of harmonic detection based on instantaneous reactive power and reactive power compensation， can clearly see the grid before and after the compensation current waveform comparison chart)

惯性导航算法，有输入数据，在MATLAB下的哦，直接就可以运行得通，惯性技术作业哦!(Inertial navigation algorithm, the input data in MATLAB Oh, it can be shipped directly works, inertial technology jobs oh!)

用matlab编写的类似于用钢琴弹奏的卡农的音乐(Similar to the Canon piano music written using matlab)

This file discribes a structure for stabilization and tracking between two identical hyperchaotic lu systems with different initial conditions and nonlinear control input. On the basis of Lyapounov theory, a first order sliding mode controller is designed for global asymptotically stabilization and tracking, so error dynamics between hyperchaotic lu master and slave system satisfy by input nonlinear control signal. Then a second order sliding mode controller by using super-twisting algorithm is designed. In this file, results of simulation shows the rate of effectiveness from this suggested method.