-
chap5_7
采用滑模控制和RBF网络来控制对象,采用等效滑模控制的方法,即根据系统的确定部分计算出等效控制量,同时利用一个RBF网络对系统的不确定部分进行补偿得到切换控制量。(Using sliding mode control and the RBF network to control the object, using the equivalent sliding mode control method, namely the determination of the system to calculate the equivalent control part of the volume, at the same time using a RBF network of uncertainty on the system parts to be switched to control the amount of compensation .)
- 2008-12-21 23:58:33下载
- 积分:1
-
UWB_analysis
ultra wideband analysis with matlab
- 2009-03-01 17:31:24下载
- 积分:1
-
xiaobo
这是一个基于matlab的小波分析信号文献,希望大家学习下。(This is a signal matlab wavelet analysis based on literature, we hope that the next study)
- 2014-12-11 18:06:12下载
- 积分:1
-
MATLAB-simulation-and-application
《MATLAB simulation and application》一书的电子源代码(MATLAB simulation and application of electronic source code)
- 2013-12-25 11:14:25下载
- 积分:1
-
sift
sift算法的基础论文,很经典,还有一篇sift的讲解,由于上传限制,如果有需要可以向本人索取(sift algorithm based on papers, very classic, there is a sift in the talks, the upload limit, and if necessary I can be obtained)
- 2010-12-11 12:29:11下载
- 积分:1
-
icpCpp
Iterative closest point in MATLAB
- 2011-01-12 15:03:06下载
- 积分:1
-
PSD
集合了几种用于实现功率谱密度函数的估计代码(Collection of several used to achieve the estimated power spectral density function code)
- 2011-09-08 09:52:13下载
- 积分:1
-
mapso
matlab与mas系统的结合 设计了多智能体的合作与竞争机制 效果还不错(The combination with the mas matlab system designed multi-agent cooperation and competition results were pretty good)
- 2011-10-14 21:53:24下载
- 积分:1
-
bl_FDTD1_pm_mur
标量FDTD模拟平面光波导内部TE波的传播(scalar FDTD simulation planar waveguide internal TE wave propagation)
- 2007-06-11 13:53:20下载
- 积分:1
-
fractal
matlab程序画图,常见分形图,function cantor(A,B)
c=1
p=0
figure
hold on
plot([A(2) B(2)],[A(1) B(1)], r* )
while norm(A(1,:)-B(1,:))>=1
C=[] D=[]
for i=1:size(A,1)
a=A(i,:)+(B(i,:)-A(i,:))/3
b=A(i,:)+2*(B(i,:)-A(i,:))/3
C=[C A(i,:) b]
D=[D a B(i,:)]
end
A=C
B=D
p=p+1 (matlab program drawing, common fractal images
function cantor(A,B)
c=1
p=0
figure
hold on
plot([A(2) B(2)],[A(1) B(1)], r* )
while norm(A(1,:)-B(1,:))>=1
C=[] D=[]
for i=1:size(A,1)
a=A(i,:)+(B(i,:)-A(i,:))/3
b=A(i,:)+2*(B(i,:)-A(i,:))/3
C=[C A(i,:) b]
D=[D a B(i,:)]
end
A=C
B=D
p=p+1 )
- 2013-03-02 09:54:38下载
- 积分:1