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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)
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histo
to genrate a graph in matlab
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1.-A-HIGH-CAPACITY-DATA-HIDING
HIGH CAPACITY DATA-HIDING
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diabetes_train
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ED
说明： ENERGY DETECTION SPECTRUM SENSING
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The-use-of-fuzzy-logic-toolbox
MABLAB中模糊逻辑工具箱的使用实例源代码(The use of fuzzy logic toolbox)
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wenjian
STP问题求解采用优化算法，Matlab实现(STP optimize algorithm)
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PSO.-using-in-TSp
混合群粒子算法TSP,是一个相当不错的智能算法，较之传统，更具鲁棒性(PSO using in TSP)
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16qam
16－QAM基带传输系统的Matlab仿真 实现了主要模块二进制信息源输入，16QAM调制，发射滤波器，接收滤波器，采样，均衡，信号检测，16QAM解调，信息还原输出，产生BER曲线图。(16-QAM base-band transmission system Matlab simulation to achieve the main source of information input module binary, 16QAM modulation, fired filter, receiver filter, sampling, balance, signal detection, 16QAM demodulator, information to restore the output, resulting BER curves.)
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bpsk
说明： 层空时码有三种普遍的检测算法：最大似然（Maximum Likelihood ,ML）检测算法、迫零（zero forcing ,ZF）检测算法、最小均方误差（Minimum Mean Squared Error,MMSE）检测算法。(There are three layers in general space-time code detection algorithms: maximum likelihood (Maximum Likelihood, ML) detection algorithm, forcing zero (zero forcing, ZF) detection algorithm, minimum mean square error (Minimum Mean Squared Error, MMSE) detection algorithm.)
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