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PDControlQuadrotor_2
design and control of quadrotors
with application to autonomous flying
- 2014-12-14 01:33:58下载
- 积分：1
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ekfukf
Extended Kalman filter Unscented Kalman filter toolbox
- 2013-11-02 15:55:14下载
- 积分：1
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markov
一阶马尔可夫过程，由白噪声生成有色噪声，希望有帮助！(First order markov process, the colored noise generated by white noise, hope to have help!)
- 2020-09-08 20:28:01下载
- 积分：1
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mxyc420
风功率预测控制 模型预测控制；状态空间；预测控制算法(Wind power prediction control model predictive control state space predictive control algorithm)
- 2015-07-06 22:21:25下载
- 积分：1
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guitar
guitar tunner... useful for generating varius tunes
- 2009-04-25 00:55:22下载
- 积分：1
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pcmcode
对单个采样点进行PCM编码的matlab源程序，是A律PCM。(code for A PCM)
- 2009-05-13 23:49:40下载
- 积分：1
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spectrumsensingincognitiveradiobasedonenergydetect
认知无线电是一种用于提高无线电通信频谱利用率的新的智能技术. 首先简述认知无线电的背景和概念,针
对认知无线电的频谱感知功能,详细地分析基于能量检测的频谱检测方法,在此基础上研究了噪声方差的不确定
性对检测性能的影响. 针对无线信号检测具有本地局域性和能量检测存在信噪比极限的特点,提出一种分布式有
限合作检测机制,推导出基于“OR”规则的有限合作机制的检测概率,并进行Monte Carlo仿真.(Cognitive radio is a radio communications spectrum used to improve the efficiency of the new smart technology. First, the background and outlined the concept of cognitive radio, spectrum sensing for cognitive radio capabilities, a detailed analysis of the spectrum based on energy detection test In this study the noise variance based on the uncertainty of the detection performance. for wireless signal detection with local detection of localized and there is signal to noise ratio limit of the energy characteristics of a distributed cooperative detection mechanism, derived out based on " OR" rules of the detection probability of the limited cooperation mechanism and conduct Monte Carlo simulation.)
- 2010-05-08 09:17:57下载
- 积分：1
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rengongmianyi
a=load( q.txt )
width=input( 请输入窗宽 )
step=input( 请输入步长 )
m=length(a)
for i=1:floor((m-width)/step+1)
s(i,1:width)=a(1,1+(i-1)*step:width+(i-1)*step)
end
b=max(max(s))
M=s./b
Rs=input( 请输入本体集半径 )
nd=input( 请输入检测器数模 )
k=1
while k<=nd
d{k}=rand(1,width)
for i=1:floor((m-width)/step+1)
if (norm(d{k}-s(i,:)))^2<Rs
break
end
end
k=k+1
end
for j=1:nd
for i=1:floor((m-width)/step+1)
R(i)=(norm(d{j}-s(i,:)))^2(a = load (' q.txt' ) width = input (' Please enter the window width' ) step = input (' Enter step size' ) m = length (a) for i = 1: floor ((m-width)/step+1) s (i, 1: width) = a (1,1+ (i-1)* step: width+ (i-1)* step) end b = max (max (s)) M = s./b Rs = input (' Please enter the body set radius' ) nd = input (' Please enter the number of detector modules' ) k = 1 while k < = nd d {k} = rand (1, width) for i = 1: floor ((m-width)/step+1) if (norm (d {k}-s (i ,:)))^ 2 <Rs
break
end
end
k=k+1
end
for j=1:nd
for i=1:floor((m-width)/step+1)
R(i)=(norm(d{j}-s(i,:)))^2)
- 2011-05-21 16:46:49下载
- 积分：1
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Program-of-chap1
The program about sliding mode control:
chap1_1ctrl.m
chap1_1plant.m
chap1_1plot.m
chap1_1sim.m
....
- 2013-12-14 16:14:43下载
- 积分：1
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22 据理论中用于求取Jousselme证据距离案例
说明： 据理论中用于求取Jousselme证据距离案例(According to the case of Jousselme Evidence Distance in theory)
- 2020-06-29 11:40:01下载
- 积分：1
