PIL

versión 1.1.0.0 (211 KB) por Giampiero Campa
Parameter Identification Library

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Actualizada 20 Dec 2008

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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

Citar como

Giampiero Campa (2022). PIL (https://www.mathworks.com/matlabcentral/fileexchange/1013-pil), MATLAB Central File Exchange. Recuperado .

Compatibilidad con la versión de MATLAB
Se creó con R11.1
Compatible con cualquier versión
Compatibilidad con las plataformas
Windows macOS Linux

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