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kalmanf
用matlab编写的卡尔曼滤波程序，一个文件(Kalman filter using matlab programs written in)
- 2009-12-21 14:59:19下载
- 积分：1
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linearSubdivision
说明： 一种利用线性插值做的三角网格化的matlab程序(linearSubdivision
A simple m file for the triangle mesh subdivision using linear interpolation.
)
- 2010-03-26 15:12:49下载
- 积分：1
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pseudo-random-code
仿真实现了伪随机码的产生过程,包括m序列，C/A码以及金码等(simulation of pseudo-random code)
- 2011-08-27 14:31:52下载
- 积分：1
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kalman
卡尔曼滤波原理讲解。含比较详尽的公式推导过程。(Kalman filtering theory to explain. Formula containing a more detailed derivation.
)
- 2011-12-21 15:53:41下载
- 积分：1
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Ford_Fulkerson
matlab最小费用最大流程序，图论，输入距离矩阵求解(The minimum cost maximum flow matlab program, graph theory, enter the distance matrix solver)
- 2020-12-25 15:19:05下载
- 积分：1
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Monte-Carlo-simulation-of-QPSK
This is Monte Carlo simulation of a QPSK communication system
- 2015-01-31 14:11:06下载
- 积分：1
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xfs_attr_leaf
Routines to implement leaf blocks of attributes as Btrees of hashed names.
- 2014-08-09 11:40:46下载
- 积分：1
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PR_167406042
利用隐式中心差分格式求解二维热传导方程的matlab代码(The matlab code to solve 2-dimension heat equation with implicit difference scheme.)
- 2013-11-09 19:07:49下载
- 积分：1
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ant
蚁群算法的matlab实例源代码。基于蚁群算法的路径规划(Ant Colony Algorithm)
- 2012-09-25 22:15:34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
