Parameter Identification Library


Updated 20 Dec 2008

View License

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

Cite As

Giampiero Campa (2023). PIL (https://www.mathworks.com/matlabcentral/fileexchange/1013-pil), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R11.1
Compatible with any release
Platform Compatibility
Windows macOS Linux

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!
Version Published Release Notes

Streamlined the nonlinear identification example, and inserted additional explanations to both examples. I've also changed one logical operation that prevented the Simulink implementation of the LWR-RD block to work with later versions of matlab.

Changed info.xml file to avoid annoying messages within the last matlab versions.