Parameter Identification Library

Versione 1.2 (212 KB) da Giampiero Campa
Simulink blocks for system identification purposes.
3.1
(8)
9,1K download
Aggiornato 29 mag 2023
Visualizza la licenza su GitHub

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

Cita come

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

Compatibilità della release di MATLAB
Creato con R11.1
Compatibile con qualsiasi release
Compatibilità della piattaforma
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examples

examples

Versione Pubblicato Note della release
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.
Per visualizzare o segnalare problemi su questo componente aggiuntivo di GitHub, visita GitHub Repository.
Per visualizzare o segnalare problemi su questo componente aggiuntivo di GitHub, visita GitHub Repository.