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4094
Dynamic Modelling and Adaptive Traction Control for Mobile Robots
- 2015-01-11 01:01:54下载
- 积分：1
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NLMS-program
本代码对于应用广泛的LMS和NLMS的各种性能进行了系统的比较，并MATLAB仿真分析比较了两种算法的性能。(The code for the widely used LMS and NLMS variety of performance comparison of the system and MATLAB simulation analysis and comparison of the performance of the two algorithms.)
- 2013-04-18 10:19:38下载
- 积分：1
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DFNN
d-fnn动态模糊神经网络程序，可用于自学，探讨。(d-fnn program)
- 2013-12-22 11:11:44下载
- 积分：1
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psk
产生一个余弦波，为通信系统提供一个余弦载波(To generate a cosine wave, as a cosine-carrier communication system)
- 2010-05-10 12:57:58下载
- 积分：1
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S
说明： 基于s函数的神经网络PID描述。实现Matlab与simulink之间的连接。(S function of the neural network based PID description. Realize the connection between Matlab and simulink.)
- 2010-05-19 10:42:06下载
- 积分：1
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awe
利用MATLAB,plot等软件来实现地震资料的处理(The use of MATLAB, plot and other software to achieve seismic data processing)
- 2013-11-05 00:28:19下载
- 积分：1
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System-Identification-Toolbox
Another system identification toolbox user guide.
- 2013-11-09 01:10:56下载
- 积分：1
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MATLAB
justenjoy it and have a nice day lamigo monkeys is theNO1 in cpbl im loveing it
- 2013-05-18 19:21:57下载
- 积分：1
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MATLAB_programming_commands_quick_tutorial_image
MATLAB图像编程命令快捷教程MATLAB programming commands quick tutorial image(MATLAB programming commands quick tutorial image MATLAB programming commands quick tutorial image)
- 2010-08-04 20:24:19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
