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fuzzyPI
利用模糊PI控制器对空调室温对象进行控制,给出具体的室温模型及其对应的控制代码。(fuzzy PI controller targets for air-conditioning control room temperature, give a specific room temperature model and the corresponding control code.)
- 2007-05-25 22:27:44下载
- 积分:1
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INTRAINS
this code is a aplication for add gaussian noise in aimage
I using a color Image for myjob. it maybe create with a while noise in image
It writed in Matlab environment
- 2014-09-22 23:58:29下载
- 积分:1
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FDTDzhalan
激励源为高斯脉冲波形的二维 平行板FDTD(时域有限差分)TM波仿真 (Excitation source for the two-dimensional Gaussian pulse waveform parallel plate FDTD (Finite Difference Time Domain) TM wave simulation)
- 2014-05-04 11:06:12下载
- 积分:1
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MachineLearningMazePolicyEvaluation
Machine Learning Code maze policy iteration value iteration
- 2013-12-13 23:13:33下载
- 积分:1
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生物地理学算法,,bbo算法
说明: 生物地理学优化算法代码,用与求解测试函数,内含对比算法PSO,GA,等多种算法代码(Biogeography optimization algorithm code, use and solve test function, including contrast algorithm PSO, GA, and other algorithm codes)
- 2019-11-08 13:47:36下载
- 积分:1
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Broyden
说明: 拟牛顿迭代法是相对比较新的一种方法,克服了牛顿迭代需要求导数和求逆的缺点.(Newton iterative method is a relatively new method of Newton shall be required to overcome the derivative and inverse shortcomings.)
- 2010-04-13 22:07:24下载
- 积分:1
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ieee33distribute_3
IEEE33节点搭建matlab模型,适用于电力系统配电网电压控制计算仿真(IEEE33 node builds matlab model, which is suitable for power system distribution network voltage control simulation.)
- 2018-04-02 11:35:48下载
- 积分:1
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susan
Matlab平台下用SuSan算法检测眼睛角点(Matlab platform with SuSan algorithm to detect the eye corner)
- 2010-09-07 10:43:45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
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Attachments_2013525
this project show the bearing selection
- 2015-02-27 06:30:27下载
- 积分:1