文件名称:RLS+MatriXReseting+ForgetFactor
介绍说明--下载内容来自于网络,使用问题请自行百度
this matlab code for estimating the static linear system(system function is time variable) with Recursive Least Squre and 2 solutions for better result.
1- using the Covariance Matrix Reseting in a specefic time.
2-using the RLS with Forget Factor
this program is written by matlab 7.0.
Here we want to estimate the below function:
1-u^2+(1+tansig(0.1*(t-375)))*u^3+u^5+3*u^7
finally,there are plots for showing results.
-this is matlab code for estimating the static linear system(system function is time variable) with Recursive Least Squre and 2 solutions for better result.
1- using the Covariance Matrix Reseting in a specefic time.
2-using the RLS with Forget Factor
this program is written by matlab 7.0.
Here we want to estimate the below function:
1-u^2+(1+tansig(0.1*(t-375)))*u^3+u^5+3*u^7
finally,there are plots for showing results.
1- using the Covariance Matrix Reseting in a specefic time.
2-using the RLS with Forget Factor
this program is written by matlab 7.0.
Here we want to estimate the below function:
1-u^2+(1+tansig(0.1*(t-375)))*u^3+u^5+3*u^7
finally,there are plots for showing results.
-this is matlab code for estimating the static linear system(system function is time variable) with Recursive Least Squre and 2 solutions for better result.
1- using the Covariance Matrix Reseting in a specefic time.
2-using the RLS with Forget Factor
this program is written by matlab 7.0.
Here we want to estimate the below function:
1-u^2+(1+tansig(0.1*(t-375)))*u^3+u^5+3*u^7
finally,there are plots for showing results.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
ex7
ex7/ForgetFactorRls.m
ex7/RlsWithCovarianceMatrixReseting.m
ex7/RlsWithTimeVariable.m
ex7/ForgetFactorRls.m
ex7/RlsWithCovarianceMatrixReseting.m
ex7/RlsWithTimeVariable.m
1999-2046 搜珍网 All Rights Reserved.
本站作为网络服务提供者,仅为网络服务对象提供信息存储空间,仅对用户上载内容的表现方式做保护处理,对上载内容本身不做任何修改或编辑。
