m5_4

说明：  vector control of induction motor

MATLAB不错的书籍，也是初学者入门必备书籍(MATLAB good books, beginner essential books)

旅行商问题，相信学过数学建模的人都知道吧。需要的下载一下吧。(The traveling salesman problem, believe that the learned mathematical modeling people know it. Need to download it.)

模拟退火算法的基本思想是从一给定解开始,从邻域中随机产生另一个解,接受Metropolis准则允许目标函数在有限范围内变坏,它由一控制参数t决定,其作用类似于物理过程中的温度T,对于控制参数的每一取值,算法持续进行“产生—判断—接受或舍去”的迭代过程,对应着固体在某一恒定温度下的趋于热平衡的过程,当控制参数逐渐减小并趋于0时,系统越来越趋于平衡态,最后系统状态对应于优化问题的全局最优解,该过程也称为冷却过程,由于固体退火必须缓慢降温,才能使固体在每一温度下都达到热平衡,最终趋于平衡状态,因此控制参数t经缓慢衰减,才能确保模拟退火算法最终优化问题的整体最优解。(Simulated annealing algorithm based on the idea that a given solution from the beginning, randomly generated from the adjacent domain to another solution, Metropolis acceptance criteria for the objective function to allow a limited range of deterioration, which is a control parameter t decided that its role is similar to the physical the course of the temperature T, the control parameters for each value, the algorithm continued to "have- to determine- to accept or rounding" of the iterative process, corresponding to a solid at a constant temperature of the process tends to thermal equilibrium, when control parameters and tended to decrease gradually 0:00, the system equilibrium state more and more, and finally the system state corresponds to the optimization problem of global optimal solution, the process is also known as the cooling process must be slow as a result of annealing temperature of solid to make solid temperature in each of them had attained thermal equilibrium, and ultim)

This application detects motion in real time. A webcam could be used.

说明：  数字通信中的最大后验概率算法，课用于通信仿真。(Maximum Posteriori Probability)

说明：  在很多图像处理的过程中，需要判别一个图像的清晰度，和图像分割结果的优劣，于是就引出了信息熵的概念，绝大多数时候，它都被用来作为评价图像的一个量化标准。(In many image processing processes, it is necessary to distinguish the clarity of an image and the result of image segmentation, so the concept of information entropy is introduced. Most of the time, it is used as a quantitative standard to evaluate the image.)

一个粒子群优化算法的实例，对于初步学习者是一个不错的学习实例。(An example of particle swarm optimization algorithm for the initial learner is a good learning example. )

基于matlab/simulink的双PWM逆变器仿真(based on Matlab/Simulink dual PWM inverter Simulation)

计算Information Discrepancy中的FDOD函数集(calculation of the discrepancy infer Function Set)