Parameter Identification Library

Version 1.2 (212 ko) par Giampiero Campa
Simulink blocks for system identification purposes.
3.1
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Mise à jour 29 mai 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

Citation pour cette source

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

Compatibilité avec les versions de MATLAB
Créé avec R11.1
Compatible avec toutes les versions
Plateformes compatibles
Windows macOS Linux

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examples

examples

Version Publié le Notes de version
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.
Pour consulter ou signaler des problèmes liés à ce module complémentaire GitHub, accédez au dépôt GitHub.
Pour consulter ou signaler des problèmes liés à ce module complémentaire GitHub, accédez au dépôt GitHub.