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lappses
A Matlab implementation of the JonkerVolgenant
- 2010-12-16 19:11:26下载
- 积分：1
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bbb
matlab上课课件，《MATLAB程序设计教程》电子教案。第一章到第十三章全(matlab class courseware, " MATLAB Programming Guide" electronic lesson plans. The first chapter to chapter XIII full)
- 2013-12-05 15:36:05下载
- 积分：1
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load_flow_and_harmonic_flow
Line Matrix is line impedance matrix.
load_power Matrix is P+jQ matrix of the loads.
source matrix is the complex value of the harmonic sources and they considered as a harmonic current source for each harmonic frequency.
- 2011-12-24 15:20:57下载
- 积分：1
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main
改进斥力场函数和使用虚拟中间目标点法解决传统人工势场法局部极小值问题(Improving the repulsive force field function and using the virtual intermediate target point method to solve the local minimum problem of traditional artificial potential field method)
- 2018-06-05 18:25:48下载
- 积分：1
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Routing
routing path,
shortest path of routing code and it is very help for routing algorithms
- 2012-06-06 00:04:41下载
- 积分：1
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bear-only-tracking
基于粒子滤波的纯角度跟踪算法，上附卡尔曼滤波，扩展卡尔曼滤波对比图(Pure point particle filter based tracking algorithm, the Kalman filter with extended Kalman filter comparison chart)
- 2011-12-08 18:10:49下载
- 积分：1
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ekf
扩展卡尔曼滤波（EKF）用于目标跟踪算法的程序，有完整图(Extended Kalman filter (EKF) for target tracking algorithm for the program, complete diagram)
- 2012-05-28 19:33:51下载
- 积分：1
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shiliangkongzhi
本文根据异步电动机矢量控制的基本原理，基于Matlab 软件构造了按转子磁场定向的矢量控制系统的仿真模型。(According to the basic principle of vector control of asynchronous motor, the simulation model of vector control system oriented by rotor field is constructed based on the software of matlab.)
- 2019-04-09 14:52:28下载
- 积分：1
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vad
基于双门限比较法的端点检测程序，使用matlab7编写！(Comparison method based on double threshold endpoint testing procedures, the use matlab7 write!)
- 2010-09-14 11:15:17下载
- 积分：1
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ex3_1
Particle swarm optimization has been used to solve many optimization problems since it was
proposed by Kennedy and Eberhart in 1995 [4]. After that, they published one book [9] and
several papers on this topic [5][7][13][15], one of which did a study on its performance using
four nonlinear functions adopted as a benchmark by many researchers in this area [14]. In PSO,
each particle moves in the search space with a velocity according to its own previous best
solution and its group’s previous best solution. The dimension of the search space can be any
positive integer.
- 2011-02-14 18:37:22下载
- 积分：1
