brusslator

number of symbols to be generated

Matlab 多项式及字符串、二维绘图、M文件及调试和函数调用(Matlab polynomial and a string of documents and Debugging M-dimensional graphics and function calls)

matlab下的fastica工具箱,可以直接使用，有界面(fastica toolbox matlab)

直线一级倒立摆稳摆控制的MATLAB仿真图(Linear stability of inverted pendulum chart pendulum control of the MATLAB simulation)

一、安装matlab c++数学库 主要为matlabC/C++数学库 安装说明 1.将matlab文件夹复制到你的电脑上的c++builder安装目录下，可参考《Matlab C++应用开发》的第3.3节 2.双击intall.bat,根据提示操作(A, to install matlab c++ math library main the the matlabC/C++ math library Installation Instructions 1. The matlab folder to the installation directory on your computer c++builder, refer to the " Matlab C++ application development 3.3 2. Double-click intall . bat, follow the prompts)

用局部参数最优化方法设计一个模型参考自适应系统,可调增益的初值Kc(0)=0.2，给定值r(t)为单位阶跃信号，即r(t)=A×1(t)。 要求： 1把连续系统离散化(采样时间可取0.1)。 2编制并运行这个系统的计算机程序(注意调整B值，使系统获得较好的自适应特性)。 3记录ym、yp的曲线 记录kp×kc的曲线 记录广义输出误差e的变化曲线。 4在参数收敛后，让Kp=2变为Kp=1，重新观察Kp×Kc及e的变化曲线。 5找出在确定的B值下，使系统不稳定的A值(阶跃信号的幅值)，并与用劳斯稳定判据计算的结果比较。 (With local parameter optimization method to design a model reference adaptive system, adjustable gain initial Kc (0) = 0.2, for a given value of r (t) for the unit step signal that r (t) = A × 1 ( t). Requirements: a continuous system discretization (sampling time of 0.1 preferred). 2 compiled and run the system computer program (Note B to adjust the value of the system to obtain better adaptive characteristics). 3 records ym, yp curve record kp × kc curve records generalized output error e curves. 4 parameter convergence, let Kp = 2 into the Kp = 1, re-observed Kp × Kc and e curves. B-5 to find value in determining the next, making the system unstable A value (step signal of amplitude), and using Routh stability criterion and the comparison of the results calculated.)

说明：  内含OFDM 峰均比的仿真程序，选择性映射slm和部分序列pts(OFDM PAPR includes simulation program, selective mapping and partial sequence pts slm)

常见使用函数，利用积分求图形面积，函数可移植性强，有助于matlab学习，并也可直接利用。(By using matlab integral area)

a fuzzy washing machine controller which control the machine using the amount of being dirty and the volume!

This project is used to eleminate the noise in the E.C.G wave form using wavelet transform. thecode is written by using matlab scripting.