버전 (211 KB) 작성자: Giampiero Campa
Parameter Identification Library

다운로드 수: 9K

업데이트 날짜: 2008/12/20

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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

인용 양식

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

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버전 게시됨 릴리스 정보

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.