Beta
25953

A STABLE ADAPTIVE ALGORITHM FOR LINEAR SYSTEMS PARAMETER IDENTIFICATION

Article

Last updated: 04 Jan 2025

Subjects

-

Tags

-

Abstract

This paper develops an updating algorithm for identifying the parameters of a known structure linear system. As it is known that recursive least squares algorithms are the best for identifying the parameters of time invariant systems. However, in case of having time varying system, the above algorithm can not track the variation in parameters in a good shape. Therefore, two approaches have been developed in the literature to resolve this problem i.e., the forgetting factor approach and the finite window one. This paper unifies the above two approaches in a stable fashion by having an algorithm that contains a variable forgetting factor and a constant window. The effectiveness of the proposed algorithm in tracking the system variable parameters is demonstrated by an example.

DOI

10.21608/asat.1989.25953

Authors

First Name

IRAKY

Last Name

KHALIFA

MiddleName

H.

Affiliation

Assistant Professor, Electrical Eng. Dept., Faculty of Engineering & Technology, University of Helwan, Helwan, Cairo.

Email

-

City

-

Orcid

-

Volume

3

Article Issue

ASAT Conference 4-6 April 1989 , CAIRO

Related Issue

4687

Issue Date

1989-04-01

Receive Date

2019-01-27

Publish Date

1989-04-01

Page Start

865

Page End

874

Print ISSN

2090-0678

Online ISSN

2636-364X

Link

https://asat.journals.ekb.eg/article_25953.html

Detail API

https://asat.journals.ekb.eg/service?article_code=25953

Order

26

Type

Original Article

Type Code

737

Publication Type

Journal

Publication Title

International Conference on Aerospace Sciences and Aviation Technology

Publication Link

https://asat.journals.ekb.eg/

MainTitle

A STABLE ADAPTIVE ALGORITHM FOR LINEAR SYSTEMS PARAMETER IDENTIFICATION

Details

Type

Article

Created At

22 Jan 2023