thresh_p

超混沌chen-lee系统引入一个非线性状态反馈控制，将混沌Chen-Lee系统构造成四维超混沌系统。将这个四维超混沌系统作为驱动系统。采用主动控制方法构造一个响应系统，进一步选择适当的控制器使驱动-响应系统达到有限时间同步。(Hyperchaotic chen-lee system into a nonlinear state feedback control, the chaos Chen-Lee system constructed four-dimensional hyperchaotic system. This four-dimensional hyperchaotic system as the drive system. Using active control methods to create a response system, to further select the appropriate controller to drive- response system to the finite time synchronization.)

在MATLAB环境下IIR数字滤波器和FIR数字滤波器的设计方法及实现方法，并进行图形用户界面设计，显示所介绍滤波器的特性。(designs of the Infinite Impulse Response digital filter (IIR) and Finite Impulse Response digital filter (FIR) under MATLAB are studied. And the Graphical User Interfaces (GUI) to analysis the characteristics of filter is designed.)

Trafic project with matlab about image processing

Simulador de orientacion posicion de un brazo robotico de cuatro grados de libertad, en GUI de matlab.

DC MOTOR CONTROL MATLAB

说明：  Jerk混沌序列转换为二进制后，序列的游程性分析 程序简单运行方便(Jerk chaotic sequence converted to binary, the run sequence analysis procedures to facilitate simple operation)

中心点漂移是一种非监督聚类算法（与k-means算法相似，但应用范围更广些),可用于图像分割，基于Matlab实现的源码。 MedoidShift is a unsupervised clustering algorithm(similar to k-means algorithm, but can be used in border application fields), can be used for image segmentation. Included is the Matlab implementation source code.(Center drift is a non-supervised clustering algorithm (k-means algorithm with the similar, but more a wider range of applications), can be used for image segmentation, based on the realization of the source Matlab. MedoidShift is a unsupervised clustering algorithm (similar to k-means algorithm, but can be used in border application fields), can be used for image segmentation. Included is the Matlab implementation source code.)

livre por la commande vectorielle sans capteur de vitesse

非常有用的matlab实用例程,mei you mi ma(very useful practical Matlab routines, mei you mi ma)

this demo is to show you how to implement a generic SIR (a.k.a. particle, bootstrap, Monte Carlo) filter to estimate the hidden states of a nonlinear, non-Gaussian state space model.(this demo is to show you how to implement a ge neric SIR (a.k.a. particle, the bootstrap. Monte Carlo) filter to estimate the hidden stat es of a nonlinear. non-Gaussian state space model.)