PID_Increase

maltlab图像处理常用到的命令，基础教程。(maltlab commonly used image processing to the order, the basis of course.)

机械臂运动学正解仿真GUI图形界面初级版。主要描述机械臂运动学正解。(Manipulator kinematics simulation of the primary version of GUI graphical interface. Describes manipulator kinematics.)

It is stbc 2x2 antenna configuration matlab code for wireless communication system.

说明：  Matlab 经典算法程序规划绘图差值数值分析(Matlab classical algorithm mapping programmatic difference between the numerical analysis of)

倒立摆的源代码希望对你有用，分享一下看看，希望对你有用(The source code for inverted pendulum useful to you want to share it and see, you want to be useful)

这5个小程序分别为：用Monte Carlo随机法圆柱相交体的体积；用刘徽割圆法计算pi；梯形法.辛普森法计算圆周率；蒲丰掷针实验程序；线性函数的迭代(This five small programs were: using Monte Carlo random method cylinder intersects the volume cyclotomic method with Liu Hui pi trapezoidal method Simpson method to calculate pi Buffon throw needles experimental procedures linear function of iteration)

Optional Data Exception extends Object Stream Exception Source Code for Andriod.

通过轨道不平顺值，求得不平顺的标准偏差，计算轨道质量指数。(Value by track irregularity, irregularity of the standard deviation obtained, the quality index calculated orbit)

这个程序纪要是用于克里金差值拟合的dace调用，dace程序简化了克里金调用(The summary of this program is the dace call for the Kriging difference fitting. The dace program simplified the Kriging call.)

使用matlab进行数值分析时重要的参考资料，具体包含内容可以看英文描述(This text is written primarily for students/readers who have a good background of high school algebra, geometry, trigonometry, and the fundamentals of differential and integral calculus. This text includes the following chapters and appendices: . Introduction to MATLAB . Root Approximations . Sinusoids and Complex Numbers . Matrices and Determinants . Review of Differential Equations . Fourier, Taylor, and Maclaurin Series . Finite Differences and Interpolation . Linear and Parabolic Regression . Solution of Differential Equations by Numerical Methods . Integration by Numerical Methods . Difference Equations . Partial Fraction Expansion . The Gamma and Beta Functions . Orthogonal Functions and Matrix Factorizations . Bessel, Legendre, and Chebyshev Polynomials . Optimization Methods . Difference Equations in Discrete Time Systems . Introduction to Simulink . Ill Conditioned Matrices Each chapter contains numerous practical applications supplemented with detailed instructions for using )