msequeandgoldsequ

能用来求解QCQP等优化问题，简单实用。内附说明书。(using for optimal problems like QCQP, and it s easy to use.)

本书介绍的MATLAB在各个方面的应用，介绍的内容有简单到详细，是一本非常不错的书籍(MATLAB introduction of this book in all aspects of the application of the contents of a simple introduction to the detailed, is a very good book)

主要实现一无人自行车的控制自主导航，可对导航与控制进行说明(The main achievement of a bicycle control unmanned autonomous navigation, navigation and control can explain)

说明：  matlab的入门学习好帮手，我看了后学到了很多，希望和大家共享。(Matlab to learn good helper, I watched a lot of deconstruction, hoped and everybody sharing.)

说明：  回声状态网络模型算法实现，回归算法采用脊回归算法(Esn model algorithm implementation)

灰色预测模型称为CM模型，G为grey的第一个字母，M为model的第一个字母。GM（1，1）表示一阶的，一个变量的微分方程型预测模型。GM（1，1）是一阶单序列的线性动态模型，主要用于时间序列预测。 一、GM（1，1）建模 设有数列 共有 个观察值 对 作累加生成，得到新的数列 ，其元素 （5-1） 有： 对数列 ，可建立预测模型的白化形式方程， （5-2） 式中： ——为待估计参数。分别称为发展灰数和内生控制灰数。设 为待估计参数向量 则 按最小二乘法求解， 有： （5-3） 式中： （5-4） （5-5） 将（5-3）式求得的 代入（5-2）式，并解微分方程，有 （1，1）预测模型为： （5-6）(gray forecasting model called CM model, the G-gray of a letter, the M model for the first letter. GM (1,1), a band of a variable type of differential equation models. GM (1,1) is a sequence of single-band linear dynamic model, mainly for time series prediction. A GM (1,1) model series with a total value of observation for the cumulative production, to a new series of its elements (5-1) : The series, we can establish the prediction model albino form of equation (5-2) where :-- to question the estimated parameters. The development will be known as the gray and hygiene control within a few gray. Set parameters to be estimated according to Vector least squares method, are : (5-3) where : (5-4) (5-5) (5-3) that obtained in lieu of income (5-2)- and solutions differential equations, (1 1) Fore)

matlab code for ss.USE THESE FOR CR

洗车模型，经典排队论，关于排队模型的相应说明含在压缩文件之中(Wash model, classical queuing theory, queuing models regarding the appropriate instructions included in the compressed file into)

此程序为基于GM（11）的灰预测程序，进行数据预测，最少输入数据为两个(This procedure the gray prediction program based on GM (11), data predicted minimum input data into two)

S. Haykin：自适应滤波器原理第四版的matlab代码(S. Haykin: Adaptive Filter principle of the fourth edition of the matlab code)