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微分方程求解
说明： 分别采用欧拉法、改进欧拉法和隐式梯形法解一阶非线性微分方程dx/dt=ax。(The Euler method, the improved Euler method and the implicit trapezoidal method are used to solve the first-order nonlinear differential equation dx/dt=ax respectively.)
- 2021-04-12 23:03:14下载
- 积分：1
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imagetransformationbymatlab
说明： Radon变换的matlab工具包，大家可以看看(radon&matlab)
- 2010-03-22 11:34:43下载
- 积分：1
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MatlabNNR
matlab 下基于近邻函数值法则的聚类算法(Matlab-based neighbor function of the clustering algorithm rules)
- 2007-01-16 13:06:15下载
- 积分：1
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battery-canshu
介绍了采用电化学阻抗谱来进行锂电池的模型参数分析(lithium battery parameter estimation)
- 2014-02-10 14:25:10下载
- 积分：1
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bigtime
说明： 大模型的采样点时间波场图。还是先前的大模型，这次采用了十个检波器记录数据。通过修改常量可以达到修改检波器数目的目的。C源程序，MATLAB绘图。(Large model sampling time to wave field map. Is a large model of the previous, this time using 10 detectors record data. Constant change can be achieved by modifying the detector number of purposes. C source code, MATLAB graphics.)
- 2009-08-25 09:26:11下载
- 积分：1
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3
说明： This file contains matlab codes for non-linear estimation of Bliss 1997 yield curve model
- 2012-06-13 08:54:56下载
- 积分：1
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DDE
将MATLAB作为客户端，应用程序使用MATLAB的DDE客户函数建立和保持转换。(MATLAB as a client application using MATLAB DDE client function to establish and maintain the conversion.)
- 2013-04-11 22:49:45下载
- 积分：1
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test
MATLAB程序估计信号的功率谱，功率谱密度，能量谱，能量谱密度(MATLAB program estimating the power spectrum of the signal, power spectral density, energy spectrum, the energy spectral density)
- 2017-03-27 10:23:55下载
- 积分：1
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gm11_1
灰色预测的问题，基本上稍微改动即可。希望对大家有所帮助。(Grey in question is basically a little modification to)
- 2011-08-12 11:18:27下载
- 积分：1
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wzrh
(1)针对在线计算量大这一缺陷，将预测控制中的柔化输出信号的思想推广到柔化输入信号，使得约束条件被简化为仅对当前控制量的约束，可以直接计算得出；同时该方法避免了求逆矩阵，大大减小了计算量，并能够保证控制算法的可行性和良好的控制性能。
(2)针对传统算法中设计参数整定困难这一缺点，应用基于BP神经网络变参数设计的广义预测控制算法，实现了对控制量柔化参数的在线调整。
(3)利用带有遗忘因子的最小二乘法对系统辨识。本文通过仿真发现该方法对于Hénon混沌系统并不完全适用，可考虑利用其他优化系统辨识的方法对本方法进行改进，以期达到更好的辨识效果。
(4)针对系统稳定性分析复杂，本文在控制增量前加入前馈因子，保证所选的Lyapunov函数使闭环系统满足Lyapunov稳定判据，由此证明闭环系统稳定。
(1. To solve the problem of GPC huge computation, algorithm with input increment constraints is presented in which the concept of output softness was used to soften the input increments．As a result, the constraints are simplified to be the only one constraint on the current control increment which can be computed directly. At the same time, it needn’t computing the inverse matrix and thus reduces large computation. Moreover, it guarantees the feasibility of the algorithm and has good control performance．
2. To overcome the difficulty in the choice of tuning parameters in traditional GPC, a GPC algorithm with variable parameter design based on BP neural network. is presented，in which the input softness parameters are tuned on line.
3. In this paper, we Identify system by using the least square method with forgetting factor. However, after system simulation, we realize that this method doesn’t fit the Hénon chaotic system perfectly. So we recommend modify this method by other Optimizati)
- 2013-05-06 21:59:10下载
- 积分：1
