求非线性方程的根牛顿迭代法

说明：   这些程序,用于模拟仿真非线性动力学的分岔,混沌等动力学行为(it s for the nonlinear dynamics phenomenon of code.)

光伏发电功率主要受太阳辐照度影响，所以准确预测太阳辐照度对光伏功率预测十分重要。程序采用小波分解先对辐照度数据进行分解，然后再用bp神经网络对分解的辐照度数据分别预测，再组合作为最后的预测结果。(Photovoltaic power generation is mainly affected by solar irradiance, so accurate prediction of solar irradiance is very important for photovoltaic power prediction. The program uses wavelet decomposition to decompose the irradiance data, then uses BP neural network to predict the decomposed irradiance data separately, and then combines them as the final prediction result.)

clear 从内存中清除变量和函数 exit 关闭MATLAB load 从磁盘中调入数据变量 pack 合并工作内存中的碎块 quit 退出MATLAB save 把内存变量存入磁盘 who 列出工作内存中的变量名 whos 列出工作内存中的变量细节 workspace 工作内存浏览器 (There is one outlier in the data of , but is not of data .For and the line of Q2 is in the middle of the box, so there are not asymmetries for both and .)

matlab中的cvx工具包,适用于windows64位系统，在信号的稀疏表示分类领域有很大的用处，网络上有此工具包的安装说明，1要先解压2移动到matlab的一个空文件夹下3打开matlab，将当前路径设置为此文件夹下的cvx文件夹4在命令行窗口输入cvx_setup(matlab in cvx toolkit for windows64 bit systems, in a sparse representation of the signal areas of the classification is very useful, this kit includes installation instructions on the network, first extract the 1 2 to move to an empty file folder under matlab 3 open matlab, the current path is set cvx file folders under this folder 4 in the command line window cvx_setup)

说明：  本文针对基于高斯分布的非线性滤波问题，开发并分析了实时和精确滤波器。我们提出了高斯滤波器的系统公式，并开发了高效和精确的数值积分。我们还讨论了混合高斯滤波器，其中条件概率密度由高斯分布之和近似。数值试验表明，新的滤波器在不增加额外费用的情况下显著地改善了扩展卡尔曼滤波器，并且新的高斯和滤波器具有接近最优的性能(In this paper we develop and analyze real-time and ac- curate filters for nonlinear filtering problems based on the Gaussian distributions. We present the systematic formulation of Gaussian filters and develop efficient and accurate numerical integration of the proposed filter. We also discuss the mixed Gaussian filters in which the conditional probability density is approximated by the sum of Gaussian distributions. Our numerical testings demonstrate that new filters significantly improve the extended Kalman filter with no additional cost and the new Gaussian sum filter .has a nearly optimal perfor- mance.)

model forinduction machine without using simulink models

用于分类的主判别变量算法(principal discriminant variate algorithm) ( principal discriminant variate algorithm for two classes, x1 and x2. x1 is the training samples in the 1st class with each column being the spectrum characterizing the corresponding sample. x2 is the training samples in the 2nd class with each column being the spectrum characterizing the corresponding sample. lamda is the penalty weight defining the balance between FLDA and PCA. dvnum is the number of principal discriminant variates to be computed. A defaul value for dvnum is 2. dv is the principal discriminant variates. scores is the matrix with each row being the scores of the samples on the corresponding principal discriminant variate. xmean is the mean spectra of the sample, which was used for mean-centering the data in training and prediction. )

这是前推回代法求解三相不平衡配电网的潮流计算，适合各种情况下的节点。(This is the forward and backward substitution method to solve the three-phase unbalanced distribution network power flow calculation, suitable for a variety of situations node.)

MATLAB Simulations for Radar Systems Design - 2004 一书对应的源代码，非常有用。(MATLAB Simulations for Radar Systems Design- 2004 a book that corresponds to the source code, very useful.)

matlab simulation on pswpm