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untitled
采用matlab的simulink模块实现了基于矢量控制的永磁同步电动机控制系统，电机模型为matlab自带模型，SVPWM的实现则采用了模块搭建，仿真模型运行时间快，效率高，便于学习研究(Using the matlab simulink module implements the permanent magnet synchronous motor control system based on vector control, motor model for matlab own model, SVPWM implementation of the module is used to build simulation models running time, high efficiency, easy to learn study)
- 2014-11-02 09:37:09下载
- 积分：1
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volumemesh
VOLUMEMESH Creates solid volume metal meshes and their modificitations
- 2010-06-21 07:30:24下载
- 积分：1
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qrd
自适应信号处理，基于QRD-LSL算法的滤波器算法的仿真(Adaptive signal processing, based on QRD-LSL algorithm simulation of the filter algorithm)
- 2010-07-13 20:28:27下载
- 积分：1
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DFP
dfp算法的matlab实现实例，源代码。。。。。。。。。。。。。。。。。。。。(dfp algorithm matlab implementation)
- 2009-11-24 15:09:28下载
- 积分：1
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MATLAB-Flow-calculation-courseware
本文件是MATLAB编写潮流程序的课件，该课件简单易懂，特别适合电力系统潮流计算初学者自学。(This document is prepared by the trend of the program MATLAB courseware, the courseware easy to understand, especially for power flow calculation for beginners learning.)
- 2014-10-24 17:35:34下载
- 积分：1
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car_pid_line
自己编写的MATLAB程序，用PID算法控制小车避障和转弯。控制效果很好，(I have written MATLAB program, with PID algorithm to control the car obstacle avoidance and cornering. Control works well,)
- 2015-04-06 12:16:26下载
- 积分：1
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Bab6(highlight)
Jadi, analisis Kurva Tegangan dan studi tentang motor sinkron menggunakan MATLAB m-file adalah pilihan yang baik di lingkungan industri.
- 2012-04-15 18:41:17下载
- 积分：1
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PSO-Fuzzy-Modeler-Mamdani-for-charger
PSO Fuzzy Modeler (Mamdani) for charger
- 2013-12-09 08:01:47下载
- 积分：1
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Dirty_or_TH_precoding
多用户自适应资源分配算法仿真程序 亲测可用(Multiuser adaptive resource allocation algorithm simulation program pro-test available)
- 2020-12-03 22:09:25下载
- 积分：1
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基于PCA的SVM分类
选择“BreastCancer”数据集，使用支持向量机(SVM)对其进行分类。作为对比，第一次对特征集直接进行支持向量机分类，第二次对特征集进行主成分分析法的特征提取后，再对特征提取后的特征集进行支持向量机分类。并且对比和分析了两次分类的结果。(The BreastCancer data set is selected and classified by Support Vector Machine (SVM). For comparison, the first time the feature set is classified directly by support vector machine, the second time the feature set is extracted by principal component analysis, and then the feature set is classified by support vector machine. The results of the two classifications are compared and analyzed.)
- 2020-06-20 10:20:02下载
- 积分：1
