资源列表
RGPO
- 距离波门拖引干扰模型，拖引过程实时显示，以GIF图片保存(Distance gate towing interference model, real-time display of towing process, saving with GIF picture)
隐半马尔科夫
- 隐式马尔科夫MATLAB代码小集合，可用于预测拟合等研究(Small collection of implicit Markov MATLAB codes for predictive fitting and other studies)
rrt_star_2D3D
- rrt算法在2维和3维环境的规划，均为matlab代码，可用于无人驾驶汽车和移动机器人路径规划(The codes of RRT algorithm in 2 and 3 dimensional environments are matlab codes, which can be used for the path planning of driverless cars and mobile robots)
多尺度排列熵
- 多尺度样本熵程序，实例中用于一段轴承故障数据，简单易懂。MultiscalePermutationEntropy函数中的PermutationEntropy也可以单独拎出来计算单个样本熵。(The multi-scale sample entropy program, which is used for a section of bearing fault data in an example, is simple and easy to understand. The permutatione
trysome.m
- 安德森计算流体力学特征线法计算喷管的流动特性以及网格生成(moc to analyse properties of the flow inside a nozzle and grid generation)
k.m
- 声子晶体梁帶隙计算相关代码，局域共振帶隙特性(Flexural vibration band gaps.,locally resonant (LR) oscillators)
蛙跳算法
- 蛙跳算法，基于蛙跳算法实现优化变分模态分解的K和a.(Frog jump algorithm, based on the frog jump algorithm to achieve optimal variational mode decomposition K and A.)
轨道频散曲线
- 将铁路视为周期结构，通过声子晶体的传递矩阵法，计算的钢轨的横波和纵波的色散曲线。两程序分别将钢轨视为欧拉梁和Timoshenko梁。(Regarding the railway as a periodic structure, the dispersion curves of the transverse and longitudinal waves of the rail are calculated by the transfer matrix method of phononic crys
MATLAB疲劳检测系统[自己视频]
- 本设计为基于MATLAB的疲劳检测识别，可应用于疲劳驾驶监测，专注度检测等应用。本设计带有GUI可视化界面，自行录制好视频后，读取视频，分帧，读取每一帧影像，计算其眼睛张合度及嘴巴张合度，通过这2个参数来判断是否疲劳。(This design is based on MATLAB fatigue detection and recognition, can be applied to fatigue driving monitoring, concentration detection and
SGLRO-Robust-Optimization-master
- 考虑不确定性的配电网经济调度问题，用列与约束算法解决。(Considering the uncertain economic dispatching problem of distribution network, the algorithm of column and constraint is used to solve the problem.)
PMSM_FCS-MPC
- 永磁同步电机模型电流预测控制，单矢量运行，用S函数实现(Permanent magnet synchronous motor model current predictive control, single vector operation, using s function to achieve)
遗传规划源程序GP-MATLAB
- 遗传规划在数据预测中的应用。。。。。。。。。。。。(Genetic Programming Application)