ZantTest1

PowerX curve fitting polynomial code

提供了PID控制的几个MATLAB程序包括：增量式PID控制，PID极点配置控制，以及自校正PID控制。(Provides several MATLAB program of PID control includind: incremental PID control, PID pole placement control, and self-tuning PID control.)

space vector pulse wide mudulation for inverter

public class PBES2Algorithms extends AlgorithmIdentifier implements PKCSObjectIdentifiers.

P_I_Kattan著、韩来彬译《MATLAB有限元分析与应用》一书的电子版及涉及的75个用MATLAB编写的有限元程序和所有习题的解答，是学习MATLAB和有限元的很好资料(P_I_Kattan with South Korea to Bin translation of " MATLAB finite element analysis and applications" , and an electronic version of the book involved in the preparation of 75 using MATLAB finite element program and all the Exercise of the answer is to learn a good MATLAB and finite element data)

说明：  matlab的图像命令，，有详尽的函数说明，，便于查询(matlab image order, a detailed function description, easy to check)

此word中包含很多关于简单的MATLAB习题,希望对大家的学习有帮助!(This word contains a lot about the simple MATLAB exercises, we want to study and help!)

this file is usefull for all student

C语言实现直方图均衡化算法，结果与matlab函数一致，代码很简单，适合初学者。(C language implementation histogram equalization algorithm, the results are consistent with the matlab function, the code is very simple and suitable for beginners.)

传算法（Genetic Algorithm）是一类借鉴生物界的进化规律（适者生存，优胜劣汰遗传机制）演化而来的随机化搜索方法。它是由美国的J.Holland教授1975年首先提出，其主要特点是直接对结构对象进行操作，不存在求导和函数连续性的限定；具有内在的隐并行性和更好的全局寻优能力；采用概率化的寻优方法，能自动获取和指导优化的搜索空间，自适应地调整搜索方向，不需要确定的规则。遗传算法的这些性质，已被人们广泛地应用于组合优化、机器学习、信号处理、自适应控制和人工生命等领域。它是现代有关智能计算中的关键技术(Propagation algorithm (Genetic Algorithm) is a law of evolution in biology class reference (survival of the fittest, survival of the fittest genetic mechanisms) randomized search method evolved. It was first proposed by the United States J.Holland professor in 1975, and its main feature is to operate directly on the structure of the object, the continuity of the derivative and the function limitation does not exist with global implicit parallelism inherent and better optimization capability the use of probabilistic optimization method that can automatically obtain and guidance to optimize the search space adaptively adjust the search direction, the rule does not require determined. The nature of the genetic algorithm, has been widely used in combinatorial optimization, machine learning, signal processing fields, such as adaptive control and artificial life. It is about smart modern computing key technologies)