侧向和横摆的二自由度车辆模型,输入为方向盘转角

Applying the Butter command

userguide for solving pde with matlab for students

对二维文本数据进行线性内插和外插等处理并输出文本格式的结果(Linear interpolation and extrapolation operations, the two-dimensional data of the text format and output the results of a text format )

基于tdoa定位的chan算法，经典算法，基本实现(Based tdoa positioning chan algorithm, the classical algorithm, the basic realization)

利用matlab语言，对STL格式的数据实现图形的仿真(Use of matlab language, STL format data to achieve graphics simulation)

MATLAB 7.0编程基础基础源程序,很经典(MATLAB 7.0 basis source based programming, classic)

基于量子的粒子群优化算法,该算法通过粒子群有量子的行为，提高了算法的寻优能力，增强了算法的全局搜索能力，有效的避免了“早熟”问题。(Quantum based particle swarm optimization algorithm.The algorithm improves the searching ability of the algorithm by quantum behavior of particle swarm, and enhances the global searching ability of the algorithm, and effectively avoids "premature" problem.)

书中给出了九个典型的自动化设计例子。展示了如何用The MathWorks和其他仿真工具，比如Simulink和Stateflow建模，以此来使自动化控制系统的设计更加便利。(This book includes nine examples that represent typical design tasks of an automotive engineer. It shows how The MathWorks modeling and simulation tools, Simulink® and Stateflow,TM facilitate the design of automotive control systems. Each example explains the principles of the physical situation, and presents the equations that represent the system. The examples show how to proceed from the physical equations to the Simulink block diagram. Once the Simulink model has been completed, we run the simulation, analyze the results, and draw conclusions from the study.)

This is a fast non-iterative ellipse fit, and among fast non-iterative ellipse fits this is the most accurate and robust. It takes the xy-coordinates of data points, and returns the coefficients of the equation of the ellipse: ax^2 + bxy + cy^2 + dx + ey + f = 0, i.e. it returns the vector A=(a,b,c,d,e,f). To convert this vector to the geometric parameters (This is a fast non-iterative ellipse fit, and among fast non-iterative ellipse fits this is the most accurate and robust. It takes the xy-coordinates of data points, and returns the coefficients of the equation of the ellipse: ax^2+ bxy+ cy^2+ dx+ ey+ f = 0, i.e. it returns the vector A=(a,b,c,d,e,f). To convert this vector to the geometric parameters )

迭代法 OTSU法和局部阈值分割的matlab实现，测试可用(OTSU method, iterative method and local thresholding segmentation matlab implementation, testing available)