fuzzy

最小方差调节器和最小方差自校正调节器。 设计最小方差调节器和最小方差自校正调节器，实现闭环仿真控制，了解这两种调节器的性质，特别是某些参数(如遗忘因子)的影响(Minimum variance regulator and the minimum variance self-tuning regulator. Design of minimum variance and minimum variance regulator self-tuning regulator to achieve closed-loop simulation of control, to understand the nature of the two regulators, in particular some of the parameters (such as forgetting factor) of)

该程序是用matlab写的一个利用遗传算法的选择性集成算法(The program is written in a matlab genetic algorithm using selective Ensemble Learning algorithm)

一个模糊控制表，里面完成了一个模糊控制，实现了simulink仿真，可供初学者学习模糊控制及matlab。(A fuzzy control table, which completed a fuzzy control to achieve the simulink simulation available for beginners learning fuzzy control and matlab.)

MRI数据的三维表面可视化，数据是MATLAB自带的，程序包括轮廓线绘制，表面显示，正交剖切等(MRI data, 3D surface visualization, data that comes with MATLAB, the program includes contour line drawing, surface display, orthogonal split and so on.)

用Matlab实现了对一副图像骨架的提取，方法简单，易于掌握。内附实例(Using Matlab to achieve an image of the skeleton extraction method is simple, easy to master. Containing examples)

Matlab Engineering Analysis

电子通信系统的建模与仿真 第8章 扩频通信 仿真 8.1 扩频码相关性的讨论 8.2 扩频通信原理 8.3 扩频通信系统? 8.4 跳频通信系统(Electronic communications system modeling and simulation in Chapter 8 Simulation of spread spectrum communication spread spectrum 8.1 code related discussion 8.2 Principle 8.3 Spread Spectrum Communications Spread Spectrum Communication System ? 8.4 Frequency Hopping Communication System)

ROBUST BLIND SEPARATION OF STATISTICALLY DEPENDENT SOURCES USING DUAL TREE WAVELETS

说明：  Matlab下的大名鼎鼎的Leach分簇算法实现。对网络研究的有用处(Matlab under the well-known clustering algorithm Leach. Of network research useful)

智能小车是移动机器人的一种，可通过计算机编程来实现其对行驶方向、启停以及速度的控制。要想让智能小车在行驶过程中能成功地避开障碍物，必须对其进行路径规划?，路径规划的任务是为小车规划一条从起始点到目标点的无碰路径。路径规划方法有：BP人工神经网络法（Back Propagation）、机器学习（Reinforcement Learning）、以及模糊控制（Fuzzy　Control）方法等。(There are many ways on autonomous mobile robot obstacle avoidance system designing, which based on fuzzy control of robot obstacle avoidance system is to use the fuzzy logic control system to determine the environmental information around the robot, then plan out a route to the target point with collision-free path. This method has a small footprint, responsive and could be able to cope with relatively complex external environment. In this paper, the main content is fuzzy control theory based obstacle avoidance of mobile robot path planning by research.)