vs2008-matlab

说明：  三相异步电动机的矢量控制调速系统MATLAB仿真(-Three-phase vector control induction motor speed control system of the MATLAB simulation)

TSP问题的人工蚁群算法中，假设m只蚂蚁在图的相邻节点间移动，从而协作异步地得到问题的解。每只蚂蚁的一步转移概率由图中的每条边上的两类参数决定：1、信息素质，也称信息素痕迹。2、可见度，即先验值。(Artificial ant colony algorithm TSP problem, assume that m ants move between adjacent nodes in the graph, which asynchronously collaborate get problem solution. Each ant transition probability is determined by the figure of two kinds of parameters for each edge: 1, the quality of information, also called pheromone trails. 2, visibility, ie priors.)

关于bootstrap的经典文献一篇，这是Introduction to the Practice of Statistics第五版中第14章。(The classic literature on the bootstrap one, which is Introduction to the Practice of Statistics in the fifth edition of Chapter 14.)

simulation direct foc in Matlab

euler pendulum solve motion equation

基于2ASK原理的 simulink仿真模拟( U57FA u4E2E2SK u539F u7406 u7684 simulink u4EFF u771F u6A21 u62DF)

在模型阶数和时滞已知与未知情况下，系统辨识与建模的5种最小二乘法。(5 kinds of least square method for system identification and modeling in the model order and time delay are known and unknown.)

胡广书现代信号处理导论随书光盘，包括各个章节，很全，大部分能直接拿来用，很实用(Hu Guang-shu of modern signal processing Introduction to CD-ROM)

窄带信号基于最小估计长度和最大似然估计的信号数目及波达方向的联合估计(Narrowband signals based on the number of signal joint estimate minimum and maximum likelihood estimate of the length and direction of arrival estimation)

说明：  用基本遗传算法求解一维无约束优化问题 用顺序选择遗传算法求解一维无约束优化问题 用动态线性标定适应值的遗传算法求解一维无约束优化问题 用大变异遗传算法求解一维无约束优化问题 用自适应遗传算法求解一维无约束优化问题 用双切点遗传优化求解一维无约束优化问题 用多变异位自适应遗传优化求解一维无约束优化问题 (The basic genetic algorithm with one-dimensional sequence of unconstrained optimization problems using genetic algorithm selected one-dimensional non-linear constrained optimization problem of dynamic calibration of genetic algorithm to adapt to the value of one-dimensional unconstrained optimization genetic algorithm with a large variation of one-dimensional unconstrained adaptive genetic algorithm for optimization problem solving unconstrained optimization problems one-dimensional cut by two-dimensional point of GA for solving a problem of unconstrained optimization adaptive genetic optimization with variable ectopic solving one-dimensional unconstrained optimization problem)