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machine_asynchrone_svm2s
SOME SIMULINK MOTEUR ASYNCHRONE SVM1111 BY BOUZIANE ISLMAIL
- 2009-05-21 18:22:34下载
- 积分：1
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LMS
用Matlab对LMS算法的实现,可用于时延估计，滤波器等方面。(LMS algorithm)
- 2012-05-06 09:16:22下载
- 积分：1
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good_forced
计算系统的lyapunov指数，利用wolf方法。(Lyapunov exponent calculated using the wolf approach.)
- 2013-07-17 11:43:14下载
- 积分：1
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FFT-abs
对正弦信号进行傅里叶变换，并对比不同的信号长度与采样频率对结果的影响(Fourier transform of the sinusoidal signal and contrast the different length of the signal with the sampling frequency results)
- 2013-04-12 10:02:35下载
- 积分：1
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Bluetooth-HOPPING
（仅供学习使用）本文重点 研究了 Blueto oth 无线传输协议的 跳频
算法 ,给出 了 算法流程及分析说明 ,并且对信道跳频序 列 进行了 初步 的 性能 分析。 结果表明 该序列 具有良 好的 均
匀 性和随机性((for learning) this paper focuses on the Blueto oth wireless transmission protocol
Algorithm, gives the flow and analysis of algorithm of channel frequency hopping sequence, and conducted a preliminary analysis of the performance. The results show that the sequence has a good average
The uniform and random)
- 2015-04-03 15:08:33下载
- 积分：1
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powerflow
用MATLAB写的五节点潮流程序，包括PQ、牛拉、高斯以及保留非线性算法。(Using MATLAB to write five-node flow program, including PQ, trekking, Gaussian and nonlinear algorithm reserved.)
- 2016-03-15 12:20:30下载
- 积分：1
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multifractal
多重分形谱算法，多重分形MATLAB代码，多重分形谱代码(Multifractal spectrum algorithm)
- 2020-10-24 22:40:00下载
- 积分：1
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maslov-rewiring
maslov的保持度以及度分布不变，随机网络边的算法。(retention maslov and distribution constant, a section of a random network algorithm.)
- 2013-04-22 14:13:44下载
- 积分：1
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声波测井波形资料中求取各个模式波 stc
从声波测井波形资料中求取各个模式波（非频散波）的慢度（速度），并绘制STC图(extract the slowness(velocity) of mode waves(no-dispersion wave) from acoustic logging data.and plot STC map.)
- 2012-11-05 22:02:23下载
- 积分：1
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zhaoxiaopu
位置指令为幅值为1.0的阶跃信号，r（k）=1.0。网络结构为1-4-1，高斯函数的参数值取Cj=[-2 -1 1 2]T ，B=[0.5 0.5 0.5 0.5]T 。
网络权值学习参数为η=0.30，α=0.05 。PID控制各参数的初RBF网络控制，被控对象为G（s）=
取采样时间为1ms，采用Z变换进行离散化，离散化后的被控对象为
y(k)=-den(2)*y（k-1）-den(3)*y(k-2)+num(2)*u(k-1)+num(3)*u(k-2)
始值为，kp=20， kd=0.3， ki=0.1。
(Position command for the step signal amplitude of 1.0, r (k) = 1.0. The network structure is 1-4-1, the Gaussian function parameters taken Cj = [-2-1 1 2] T, B = [0.5 0.5 0.5 0.5] T. Weight learning parameter η = 0.30, α = 0.05. PID control parameters at the beginning of each RBF network control, the controlled object is G (s) = take the sampling time is 1ms, using the Z transform discrete, discretized controlled object is y (k) =-den (2)* y (k-1)-den (3)* y (k-2)+num (2)* u (k-1)+num (3)* u (k-2) initial value, kp = 20, kd = 0.3, ki = 0.1.)
- 2013-07-22 21:20:28下载
- 积分：1
