Parameter Identification Library

Versión 1.2 (212 KB) por Giampiero Campa
Simulink blocks for system identification purposes.
3.1
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Actualizado 29 may 2023
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simulink-parameter-identification-library

View Parameter Identification Library on File Exchange

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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 (2024). Parameter Identification Library (https://github.com/giampy1969/simulink-parameter-identification-library/releases/tag/v1.2), GitHub. Recuperado .

Compatibilidad con la versión de MATLAB
Se creó con R11.1
Compatible con cualquier versión
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examples

examples

Versión Publicado Notas de la versión
1.2

See release notes for this release on GitHub: https://github.com/giampy1969/simulink-parameter-identification-library/releases/tag/v1.2
1.1.0.0

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.
1.0.0.0

Changed info.xml file to avoid annoying messages within the last matlab versions.
Para consultar o notificar algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.
Para consultar o notificar algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.