L2 gap-metric-based identification algorithms for linear feedback systems

Samir Hasan Al-Amer

L₂ gap-metric-based identification algorithms for linear feedback systems

Samir Hasan Al-Amer

Department of Control and Instrumentation Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In this paper, we propose two algorithms to identify linear feedback systems. The parameters of the model are obtained to minimize the L ₂-gap between the observed true system and the identified model. Frequency-domain direct and indirect identification algorithms are presented and illustrative examples are given.

Original language	English
Title of host publication	Proceedings of the 25th IASTED International Conference on Modelling, Identification, and Control, MIC 2006
Pages	478-483
Number of pages	6
State	Published - 2006

Publication series

Name	Proceedings of the IASTED International Conference on Modelling, Identification, and Control, MIC
ISSN (Print)	1025-8973

Keywords

Closed-loop identification
Identification
L-gap metric

ASJC Scopus subject areas

Software
Modeling and Simulation
Computer Science Applications

Cite this

@inproceedings{03f8b6129f0e49bbb9ae8f0d2a72cc6f,

title = "L2 gap-metric-based identification algorithms for linear feedback systems",

abstract = "In this paper, we propose two algorithms to identify linear feedback systems. The parameters of the model are obtained to minimize the L 2-gap between the observed true system and the identified model. Frequency-domain direct and indirect identification algorithms are presented and illustrative examples are given.",

keywords = "Closed-loop identification, Identification, L-gap metric",

author = "Al-Amer, \{Samir Hasan\}",

year = "2006",

language = "English",

isbn = "0889865515",

series = "Proceedings of the IASTED International Conference on Modelling, Identification, and Control, MIC",

pages = "478--483",

booktitle = "Proceedings of the 25th IASTED International Conference on Modelling, Identification, and Control, MIC 2006",

}

L₂ gap-metric-based identification algorithms for linear feedback systems. / Al-Amer, Samir Hasan.
Proceedings of the 25th IASTED International Conference on Modelling, Identification, and Control, MIC 2006. 2006. p. 478-483 (Proceedings of the IASTED International Conference on Modelling, Identification, and Control, MIC).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - L2 gap-metric-based identification algorithms for linear feedback systems

AU - Al-Amer, Samir Hasan

PY - 2006

Y1 - 2006

N2 - In this paper, we propose two algorithms to identify linear feedback systems. The parameters of the model are obtained to minimize the L 2-gap between the observed true system and the identified model. Frequency-domain direct and indirect identification algorithms are presented and illustrative examples are given.

AB - In this paper, we propose two algorithms to identify linear feedback systems. The parameters of the model are obtained to minimize the L 2-gap between the observed true system and the identified model. Frequency-domain direct and indirect identification algorithms are presented and illustrative examples are given.

KW - Closed-loop identification

KW - Identification

KW - L-gap metric

UR - https://www.scopus.com/pages/publications/56149099694

M3 - Conference contribution

AN - SCOPUS:56149099694

SN - 0889865515

SN - 9780889865518

T3 - Proceedings of the IASTED International Conference on Modelling, Identification, and Control, MIC

SP - 478

EP - 483

BT - Proceedings of the 25th IASTED International Conference on Modelling, Identification, and Control, MIC 2006

ER -