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DMIMO
MIMO decoupling with dynamic decoupling
- 2010-11-09 10:39:37下载
- 积分：1
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chan
一种实现TOA的算法，chan算法的源代码，matlab源程序，希望采纳。(Algorithm, chan algorithm source code for an implementation of TOA, matlab source code, hope to adopt.)
- 2014-02-23 19:37:08下载
- 积分：1
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HLRF_method
一次可靠度的HLRF算法。随机向量的概率模型采用Nataf分布，考虑变量相关性。验算点搜寻采用U空间的梯度迭代算法。(This is a first-order reliability method based on HLRF algorithm. A multivariate distribution model,Nataf model,is used to generate the random variables. To search the design point in indenpent standard Gauss space, a kind of gradient iterative algorithm is adopted.)
- 2020-11-09 20:09:46下载
- 积分：1
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adaptivelms
基于小波变换的可变步长自适应LMS语音信号去噪程序，对实际复杂噪声具有很好的效果(Based on wavelet transform adaptive variable step size LMS Speech Signal Denoising procedures, the actual complexity of the effect of noise has a very good)
- 2020-11-06 17:39:50下载
- 积分：1
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stream
基于BP_Adaboost的强分类器设计-公司财务预警建模(Strong classifier based on BP_Adaboost design- the company' s financial early warning modeling)
- 2011-10-15 20:37:58下载
- 积分：1
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DSPview3
a third ameliorate version of DSPview code in matlab
- 2013-10-31 18:32:55下载
- 积分：1
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Cukmojaza
power electric simulation models
- 2013-12-10 22:23:23下载
- 积分：1
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pmsmhuamo
直线电机滑模控制仿真，对直线电机滑模控制方法进行研究(Linear motor sliding mode control simulation of linear motor, sliding mode control method research)
- 2020-12-02 16:39:25下载
- 积分：1
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MIMO
该程序是在MATLAB下编写的实现mimo信号的(mimo)
- 2009-09-12 09:17:54下载
- 积分：1
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pid
以中等纯度的精馏塔为研究对象，考虑到不等分子溢流的影响和非理想的汽液平衡，可以得到塔顶产品轻组分含量Y与回流量L之间的传递函数为：
其中由于现场环境干扰，输出带有测量噪声是（0，1）的正态分布序列，它的方差为ɑ=0.5。由于输出中带有很大的噪声信号，故将数字滤波技术中常见的低通滤波器由于偏差控制，滤掉其中的噪声信号，然后在对其进行PID计算，得到实际的控制量。在该方法在噪声较强的环境下，可以得到较好的控制效果。
控制要求：
1、 采用带低通滤波器的增量式PID将塔顶轻组分含量控制在0.99
2、 用ISTE法整定PID参数
3、 在控制过程中，到150周期加入幅度为-20 的阶跃干扰，在第300周期干扰消失。分析PID参数的抗干扰性。
(Medium-purity distillation column, taking into account ranging from molecular overflow and non-ideal vapor-liquid equilibrium, the transfer function between the light component content of the top product Y and the back flow L can be obtained as:
Because the field of environmental interference, output with the measurement noise is a normal distribution (0,1) sequence, its variance ɑ = 0.5. As with a lot of noise in the output signal, it will be common in low-pass filter in the digital filtering techniques due to the bias control, filter out the noise signal, then its PID, the actual amount of control. In the strong noise environment, you can get better control effect.
Control requirements:
1, using the incremental PID with a low-pass filter to the top of the tower content of light components in the 0.99
2, the method of ISTE tuning PID parameters
3, in the control process, to 150 cycles join the range of-20 step disturbance, disappearance of interference in the first 300 c)
- 2012-04-07 07:27:43下载
- 积分：1
