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MPCcontrol
模型预测控制实例，包含一段MPC控制的程序和仿真数据(model predict control)
- 2020-12-05 15:19:23下载
- 积分：1
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ch5
说明： matlab 系统仿真 实例第五章所有例子，可以学习下；(matlab simulation examples of Chapter V all the examples, you can learn from the next )
- 2010-03-24 14:24:44下载
- 积分：1
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DNA
真的好有用 啊 求ＤＮＡ模型的ＭＡＴＬＡＢ代码(it is really good very goood )
- 2011-09-10 18:00:57下载
- 积分：1
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PML-absorbing-boundary-code
使用PML吸收边界三维FDTD算法MATLAB代码(PML absorbing boundary using three-dimensional FDTD algorithm MATLAB code)
- 2013-08-06 11:01:09下载
- 积分：1
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ecgnoise
有关心电处理的程序，主要是心电去噪，欢迎大家参考(Are concerned about the power handling procedures, mainly ECG denoising, welcome reference)
- 2011-12-21 11:34:41下载
- 积分：1
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Robot_inversion
基于神经网络观测器的单关节机械手反演控制。将估计速度代替实际速度，可实现无需实际速度信号检测的控制(Single-joint robot based on neural network observer inversion control. Instead of the actual speed of the estimated velocity can be achieved without the control of the actual speed signal detection)
- 2020-09-09 11:08:02下载
- 积分：1
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APS
Bluetooth is a wireless technology that allows computers, phones, headsets, PDA s and other devices to wirelessly communicate over short distances (up to 33 feet). Bluetooth uses radio waves (in the 2.4 GHz range), and is designed to be a secure, low power and inexpensive way of connecting and exchanging information between devices without the need for wires or cables to link devices together.
- 2010-11-06 02:35:45下载
- 积分：1
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EEMD
改进的总体经验模态分解,效果不错,欢迎讨论(Improved overall empirical mode decomposition, the effect is good, welcome to discuss)
- 2021-04-24 19:48:47下载
- 积分：1
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CQMFB-design
设计一CQMFB，低通滤波器H0(z)来自一半带滤波器。该半带滤波器的长度为47，通带截至频率ωp = 0.42π，试给出H0 (z)，H1(z)，G0(z)，G1(z)的幅频响应，单位抽样响应并画图。(Design a CQMFB, low-pass filter H0 (z) the half-band filter. The length of the half-band filter 47, the passband cutoff frequency ωp = 0.42π, try to give H0 (z), H1 (z), G0 (z), G1 (z) of the amplitude-frequency response, the unit sample response and Paint.)
- 2015-03-26 19:12:12下载
- 积分：1
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ols
正交最小二乘辨识算法
该算法除了实现最小二乘辨识功能之外而且能按照各项重要性将其逐一选出并且估计相应系数(OLS Orthogonal Least Quares.
[x, ind] = OLS(A,b,r) gives the solution to the least squares problem
using only the best r regressors chosen from the ones present in matrix A.
This function also returns in the vector ind the indexes of the
best r regressors (i.e., the best columns of A to use).
If r is equal to n, the solution x given by OLS is the same as the solution
given by A, but in ind we still have the regressors sorted by their
importance. This means that one can perform a feature selection by taking
the first k entries in ind (k<r).)
- 2010-01-06 20:18:56下载
- 积分：1
