PIL

Parameter Identification Library

Description

This Simulink library is a collection of
blocks that perform Parameter Identification
through the most rewarded frequency and time
domain linear regression methods. It works
in Matlab 5.3.1 as well as in later versions.

Main examples are:

-) Recursive Least Squares (RLS).
-) Simple Windowed Regression (LLS).
-) Local Weighted Regression (LWR).
-) Fourier Transform Regression (FTR).

Two example on Linear and Nonlinear Aircraft
Parameter Identification are included in the library.

IMPORTANT, all of these blocks REQUIRE SMXL
(the Simulink Matrix Library) freely available in the File exchange section of the MATLAB Central website.

Giampy, October 2001

• MATLAB release: MATLAB 5.3.1 (R11.1)
• Other requirements: SMXL (Simulink Matrix Library)

Other Files

contents.m,
demos.m,
examples/,
examples/beadata.mat,
examples/beapil.mdl,
examples/beaplot.m,
examples/f22data.mat,
examples/f22pil.mdl,
examples/f22plot.m,
info.xml,
lwrb2.m,
pil.mdl,
slblocks.m

[Mazen Nehma]

 

[Abas Mohamed]

 

[Iman abdelhamid]

 

[shahin mokhtare]

 

[ZAFAR ALI]

BEST

[Gelar Budiman]

 

[Sebi Sisca]

Thanks a lot, you are a life saver

[Julian Stoev]

I was just going to program it myself and found a reference in sci.eng.control. Have to check how it works, but this should be really good!

[kim l]

PIL is a more the famous (or less than shoul)python image library :)

[yang li]

Hellol,
I wish the author can complement the files:
Main examples are:
 
-) Recursive Least Squares (RLS).
-) Simple Windowed Regression (LLS).
-) Local Weighted Regression (LWR).
-) Fourier Transform Regression (FTR).
 
 
Two example on Linear and Nonlinear Aircraft
Parameter Identification are included in the library.

Best Wishes