资源列表
ABS_simulink
- 关于汽车ABS的simulink仿真。包含m语言源文件，simulink文件，数据，以及仿真的效果图。改数据后通用。(Simulink simulation of automobile ABS. Including M language source files, Simulink files, data, and Simulation of the effect map. When the data is changed, it is common.)
EPS_Final
- 基于MATLAB的汽车电动助力转向系统转向特性分析，包含m文件，simulink模型。亲测可用。具有很强的通用性。(The steering characteristic analysis of automotive electric power steering system based on MATLAB includes m file and Simulink model. The test is available. It has a strong generality.)
倒立摆-LQR
- 关于一级倒立摆LQR+PID控制。包含源程序，simulink仿真模型等(On the inverted pendulum LQR+PID control. Including source program, Simulink simulation model, etc.)
MPC仿真
- MPC模型预测控制算法，包括有约束和无约束模型预测控制MATLAB仿真(MPC model predictive control algorithm, including constrained and unconstrained model predictive control MATLAB simulation)
SISO_MPC
- 单输入单输出有约束的模型预测控制算法，阶跃响应动态矩阵预测模型，优化算法采用有效集法求二次规划问题(Single input and single output constrained model predictive control algorithm, step response dynamic matrix prediction model, optimization algorithm using effective set method to solve the two time pr
EFG
- 无网格伽辽金法的数值模拟，对于新手来说，有很好的教学功能(Numerical simulation of meshless Galerkin method)
程序和相应的图片
- 在基于基础蚁群算法图像边缘检测的例程上改写的一个演示matlab演示动画程序，可以帮助初学者进一步了解算法进行边缘检测 的原理和步骤。首先说明一下：这个程序的检测效果不是很好，而且这里只能使用128*128的图片。这个程序主要是提供初学者学习，演示用。(A demonstration matlab demo program rewritten on the basis of the basic ant colony algorithm image edge detection routine c
ga_TSP
- 遗传算法求解TSP问题，可生成迭代图像，有详细中文注释(Solving TSP problem by GA)
matlab
- 采用matlab解决带时间窗的车辆路径规划问题(Using Matlab to solve vehicle routing problem with time windows)
地震正在运行
- 采用matlab解决带时间窗的车辆路径规划问题,用了遗传算法(Using matlab to solve vehicle routing problem with time windows, using GA)
智能控制第4版-matlab
- 刘金琨 智能控制第四版 matlab例程(The fourth edition of Liu Jinkun's Matlab routine for intelligent control)
kmeans
- 用natlab将iris数据聚类为三类。然后将结果与虹膜数据集中的正确结果进行比较，并计算分类精度(You are offered the iris dataset of the UCI dataset. Cluster the data to three categories. Then compare the result with the correct one in iris dataset and compute the classification accuracy.)