该算法连续系统的积分分离式PID算法,用MATlab开发，能够管直接运行,当控制量与设定值偏差较大时，取消积分作用，以免积分作用过大引起系统的稳定性降低。...

系统辨识的经典之作，作者为matlab系统辨识工具箱的编写者。(System Identification classic, author matlab System Identification Toolbox writers.)

关于matlab的一本详细用户手册。适合初学者。()

Dijkstra算法是典型最短路算法，用于计算一个节点到其他所有节点的最短路径。主要特点是以起始点为中心向外层层扩展，直到扩展到终点为止(Dijkstra' s algorithm is a typical shortest path algorithm used to calculate a node to all other nodes of the shortest path. Main features is the starting point for the center layers expand outward until the end date extended to)

经优化后的xls文件导入到dbf文件的表单,dbf文件请自己创建(By importing the XLS file after the optimization to the DBF file form, please create your own DBF file )

雷达信号检测和信息提取:根据雷达接收到的信号检查是否含有目标反射回波，并从反射回波中测出有关目标状态的数据。信号是信息的载体，信息是信号的内容。雷达工程界习惯于把雷达信号检测和信息提取的具体实施称为雷达信号处理，并把这种处理与测出的数据的处理合称为雷达信息处理。技术科学界最初把采用数理统计工具解决这一类信息处理的理论问题称为检测理论，后又称为检测与估计(Radar signal detection and information extraction, according to the received radar signal check whether contain the target echo, and measure the echo data on target state.Signal is the carrier of information, the content of the information is a signal.Radar engineering is used to the specific implementation of the radar signal detection and information extraction called radar signal processing, and the processing and the processing of measured data as radar information processing.Technology of the scientific community initially put the use of mathematical statistics tools to solve this problem is known as a kind of information processing theory testing theory, also known as the detection and estimation)

总结的混合粒子群算法、蚁群算法、遗传算法求TSP（旅行商问题）,值得看一看(Summary hybrid particle swarm optimization, ant colony algorithm, genetic algorithm for TSP (traveling salesman problem), it is worth a look)

三相PWM逆变电路(SPWMH_1.mdl)

有直接法,间接法,Bartlett法,Welch法(有????? ????? Bartlett ? Welch )

说明：  Matlab数学建模程序包，数学建模型竞赛必备武器(Matlab package for mathematical modeling, mathematical model of arms race must)

simulink 2d 查表程序 table2d.m, data2d.fig, table2dlookup.mdl, data2dresult.fig(simulink 2d look-up table procedure table2d.m, data2d.fig, table2dlookup.mdl, data2dresult.fig)