搜索资源列表
bestspeculate
- 根据最小二乘法的递推公式 ,由 ,逐次递推可得。程序中选取矩阵来存放x的值。通过循环程序计算出 , , 的值
rels_riv_rls
- 本人用matlab编写的rels(最小二乘法),rls(递推增广最小二乘法),riv(辅助变量法递推算法)的程序,都是2阶的,稍改动就可以变成其它阶次
tituiminTWOmul
- 递推广义最小二乘法,主要应用于系统辨识,按照给定的递推方程辨识参数
mzxec.rar
- 递推格式的最小二乘法参数辨识算法matlab语言设计与实现,Recursive least squares format parameter identification algorithm matlab language design and implementation
xitongbianshi
- 系统 辨识文件夹内是产生高斯白噪声,m序列和最小二乘法的一次完成算法,递推算法,限定记忆法的程序。系统仿真文件夹内是对系统线性和非线性的建模和仿真程序。-System folder on system identification is to generate Gaussian white noise, m sequence and a complete least-squares method algorithm, recursive algorithm, limited memory met
duobuyuce
- 多部预测自校正控制的算法仿真程序,用matlab写的。用的RLS带遗忘的最小二乘法递推。-Forecast for more than self-tuning control algorithm simulation program, written using matlab. Used in the RLS with forgetting recursive least square method.
Identificationofvariousleastsquares
- 各种最小二乘法辨识汇总:一般最小二乘法、广义、递推、增广-Identification of various least-squares method Summary: general least-squares method, generalized, recursive, augmented
RLSGLS
- 递推偏最小二乘法的源程序,确定转换参数,解释原始信号和噪声-Using a sequence of data to trace-back parameter of a transfer function. explain step-by-step easily to this time the original signal+noise MATLAB 7.1.0 (R14SP3) identification, parameter, recursive, rls
Parameter-identification
- 使用matalb软件,利用递推阻尼最小二乘法进行参数辨识,并改变噪声的强度,即 a*ξ(t)(0<a<1),分析、比较一般递推最小二乘和递推阻尼最小二乘方法的优缺点 ;-Use matalb software, the use of recursive damped least square method for parameter identification, and change the intensity of noise, that is a* ξ (t) (0 <a
one-time-least-squares-algorithm
- 辨识算法分别用一次最小二乘算法和递推最小二乘算法对被控对象进行辨识。最小二乘法是一种数学优化技术。-Identification algorithm using a least squares algorithm, respectively, and the recursive least squares algorithm to identify the controlled object. Method of least squares is a mathematical optimizat
recursive-least-square-algorithm
- 最小二乘法是一种数学优化技术。辨识算法分别用一次最小二乘算法和递推最小二乘算法对被控对象进行辨识。-Method of least squares is a mathematical optimization techniques. Identification algorithm using a least squares algorithm, respectively, and the recursive least squares algorithm to identify the con
LSPE
- 提供了几种最小二乘法程序包括:批处理最小二乘参数估计,递推最小二乘参数估计,遗忘因子递推最小二乘参数估计,递推增广最小二乘参数估计。-Provides several least squares procedures include: Batch least squares parameter estimation, recursive least squares parameter estimation, forgetting factor recursive least squares pa
System-Identification
- 1、经典粒子群算法 2、一次最小二乘法(LS) 3、递推最小二乘算法(RLS) 4、确定性系统的递推梯度校正参数估计(RGC) 5、递推极大似然参数估计算法(RML)-1、Classical particle swarm optimization algorithm matlab code 2、Various types of system identification algorithm
Least-squares-algorithms
- 各种最小二乘法算法,包括一般最小二乘、递推最小二乘、增广最小二乘及辅助变量法等算法及MATLAB程序。-All kinds of least squares algorithm and their programs in matlab
xitongbianshi
- 最小二乘法系统辨识 包括基本最下二乘、递推最小二乘、广义、增光最小二乘等等。-Least squares identification system including basic two multiplication, recursive least squares, generalized least squares, credit and so on.
code
- 对于单输入单输出的系统(Single input single output,SISO)常采用最小二乘方法辨识系统的参数。最小二乘参数估计是一个经典的方法,概念简明,适应范围广,来源于数理统计的回归分析,它能提供一个在最小方差意义上与实验数据最好拟合的模型,在一些情况下,可得到与极大似然法一样好的统计效果,并能很方便地与其它辨识算法建立关系。在一定条件下,最小二乘法参数估计法有最佳的统计特性,即一致的、无偏的和有效的结果。本代码主要关于使用递推最小二乘辨识方法与增广最小二乘辨识方法辨识模型参数,
chap2
- 系统辨识最小二乘法辨识系统参数,递推最小二乘,加权最小二乘(system identification)
mkew0
- dituizuixiaoerchengfa,递推最小二乘法源程序()
1RLS_SC_RC
- 递推最小二乘法,最简单的递推最小二乘法程序(Recursive least squares method, the simplest recursive least squares procedure.)
系统建模
- 1.批量最小二乘法算法(也称最小二乘的一次性完成辨识算法) 2.递推最小二乘法算法,应用递推算法对参数估计值进行不断修正,以取得更为准确的参数估计值。 3.粒子群算法(PSO)。粒子群优化算法的基本思想:是通过群体中个体之间的协作和信息共享来寻找最优解.PSO的优点在于简单容易实现并且没有许多参数的调节。 4.BP神经网络,各个神经元仅接收来自前一级的输出,经神经元处理后的信息将输出至下一级,网络中没有反馈,即前一级神经元不会接受后一级神经元的输出。 water tank是原始数据(双容