Frequency-domain weighted rls model reduction for complex SISO linear system

Ping Zhou; Tianyou Chai; Qiang Liu; Hong Wang; Chun Yi Su

doi:10.1109/ACC.2009.5159926

Frequency-domain weighted rls model reduction for complex SISO linear system

Ping Zhou, Tianyou Chai, Qiang Liu, Hong Wang, Chun Yi Su

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

Abstract

During the analysis and design of control systems, the complex SISO linear system that consist of several single transfer functions plus different time delay are often encountered and need to be reduced order. However, due to the complicated characteristics, it is difficult for such high-order model to obtain the reduced-order model using the existing methods. In this paper, a frequency-domain weighted recursive least squares (RLS) method is proposed for model reduction of such complex SISO linear system. The involved algorithm is derived, and the computational procedure of the model reduction is presented. At last, numerical examples are offered to verify the effectiveness of the proposed scheme for model reduction. © 2009 AACC.

Original language	English
Title of host publication	Proceedings of the American Control Conference\|Proc Am Control Conf
Pages	5719-5724
Number of pages	5
DOIs	https://doi.org/10.1109/ACC.2009.5159926
Publication status	Published - 2009
Event	2009 American Control Conference, ACC 2009 - St. Louis, MO Duration: 1 Jul 2009 → …

Conference

Conference	2009 American Control Conference, ACC 2009
City	St. Louis, MO
Period	1/07/09 → …

Access to Document

10.1109/ACC.2009.5159926

Cite this

@inproceedings{e55b43a837454e78bd147c708df3aa00,

title = "Frequency-domain weighted rls model reduction for complex SISO linear system",

abstract = "During the analysis and design of control systems, the complex SISO linear system that consist of several single transfer functions plus different time delay are often encountered and need to be reduced order. However, due to the complicated characteristics, it is difficult for such high-order model to obtain the reduced-order model using the existing methods. In this paper, a frequency-domain weighted recursive least squares (RLS) method is proposed for model reduction of such complex SISO linear system. The involved algorithm is derived, and the computational procedure of the model reduction is presented. At last, numerical examples are offered to verify the effectiveness of the proposed scheme for model reduction. {\textcopyright} 2009 AACC.",

author = "Ping Zhou and Tianyou Chai and Qiang Liu and Hong Wang and Su, {Chun Yi}",

year = "2009",

doi = "10.1109/ACC.2009.5159926",

language = "English",

isbn = "9781424445240",

pages = "5719--5724",

booktitle = "Proceedings of the American Control Conference|Proc Am Control Conf",

note = "2009 American Control Conference, ACC 2009 ; Conference date: 01-07-2009",

}

TY - GEN

T1 - Frequency-domain weighted rls model reduction for complex SISO linear system

AU - Zhou, Ping

AU - Chai, Tianyou

AU - Liu, Qiang

AU - Wang, Hong

AU - Su, Chun Yi

PY - 2009

Y1 - 2009

N2 - During the analysis and design of control systems, the complex SISO linear system that consist of several single transfer functions plus different time delay are often encountered and need to be reduced order. However, due to the complicated characteristics, it is difficult for such high-order model to obtain the reduced-order model using the existing methods. In this paper, a frequency-domain weighted recursive least squares (RLS) method is proposed for model reduction of such complex SISO linear system. The involved algorithm is derived, and the computational procedure of the model reduction is presented. At last, numerical examples are offered to verify the effectiveness of the proposed scheme for model reduction. © 2009 AACC.

AB - During the analysis and design of control systems, the complex SISO linear system that consist of several single transfer functions plus different time delay are often encountered and need to be reduced order. However, due to the complicated characteristics, it is difficult for such high-order model to obtain the reduced-order model using the existing methods. In this paper, a frequency-domain weighted recursive least squares (RLS) method is proposed for model reduction of such complex SISO linear system. The involved algorithm is derived, and the computational procedure of the model reduction is presented. At last, numerical examples are offered to verify the effectiveness of the proposed scheme for model reduction. © 2009 AACC.

U2 - 10.1109/ACC.2009.5159926

DO - 10.1109/ACC.2009.5159926

M3 - Conference contribution

SN - 9781424445240

SP - 5719

EP - 5724

BT - Proceedings of the American Control Conference|Proc Am Control Conf

T2 - 2009 American Control Conference, ACC 2009

Y2 - 1 July 2009

ER -

Frequency-domain weighted rls model reduction for complex SISO linear system

Abstract

Conference

Access to Document

Fingerprint

Cite this