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报童问题的计算机仿真 ％tm一轮实验的预定模拟天数 ％t一轮实验的仿真天数累积值 ％z订报量 ％z 最优订报量 ％g订报量z之上界 ％s1损失值之累计值 ％s最小损失值值 ％r按概率分布产生随机售报量样本(newsboy problem of computer simulation% tm an experimental simulation of the target number of days a t% of the experimental days of accrued Simulation plot value volume%% z z Factory Workers optimal quantity% g subscription volume z% above the industry s1 loss value% cumulative value of the smallest losses's value % r value of the probability distribution of random reported sales volume samples)

Simulink动态系统建模与仿真基础 李颖等编.pdf 精通simulink系统仿真与控制.pdf(A very useful tool SIMULINK simulation)

通过设计一个二阶加权系数自适应横向FIR滤波器，对一个加随机噪声的正弦信号实现滤波。 具体设计方案为： 1，生成标准正弦信号S 2，生成等长的随机信号N 3，生成加随机噪声的正弦信号X 4，X通过参数可调数字滤波器，输出Y 5，Y与参考信号作差得到误差E 6，E通过自适应算法调整权值W 7，用LMS算法处理噪声干扰的信号，最终实现滤波器功能(A two order weighted coefficient adaptive transverse FIR filter is designed to filter a sinusoidal signal with random noise. The specific design scheme is as follows: 1, generating a standard sinusoidal signal S 2, generating an equal length random signal N 3, generating a sinusoidal signal X with random noise 4, X can adjust the digital filter by parameter and output Y 5, the difference between the Y and the reference signal is E 6, E adjusts the weight W through the adaptive algorithm 7, the LMS algorithm is used to deal with the noise interference signal, and the filter function is finally realized.)

通过A星算法寻找最优路径到达目标,可自由设置障碍,能运行成功(optimal path planning )

牛人krishna示例的升余弦滚降滤波器的时域和频域仿真(the simulation of raised cosine filter for both time and frequency domains，by krishna, happy learning!)

说明：  这是我收集的一个Matlab工具箱，大家可以看看呀，很好的一个。(This is my collection of a Matlab toolbox, we can see Yeah, good one.)

并联机器人源程序，对于研究机器人的朋友很有用(parallel robot source for research robots useful friends)

This is a simulink model that perform Perturb and observe algorithm for maximum power point tracking.

说明：  求解一般线性无约束最优化问题的qp算法程序(Solving the general linear unconstrained optimization algorithm QP procedures)

一个3-4-1型的mamdani模糊控制系统，可适用于很多情况。(A 3-4-1 type mamdani fuzzy control system, applicable to many situations.)