DocumentCode :
2460483
Title :
Frequency-domain weighted RLS model reduction for complex SISO linear system
Author :
Zhou, Ping ; Chai, Tianyou ; Liu, Qiang ; Wang, Hong ; Su, Chun-Yi
Author_Institution :
Key Lab. of Integrated Autom. of Process Ind., Northeastern Univ., Shenyang, China
fYear :
2009
fDate :
10-12 June 2009
Firstpage :
5719
Lastpage :
5724
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.
Keywords :
control system analysis; control system synthesis; delays; large-scale systems; least squares approximations; linear systems; polynomials; reduced order systems; transfer functions; complex SISO linear system; control system analysis; control system design; frequency-domain weighted RLS model reduction; high-order model; model reduction; recursive least squares method; reduced-order model; time delay; transfer function multinomial; Automation; Control system synthesis; Control systems; Delay effects; Least squares approximation; Least squares methods; Linear systems; Reduced order systems; Resonance light scattering; Transfer functions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 2009. ACC '09.
Conference_Location :
St. Louis, MO
ISSN :
0743-1619
Print_ISBN :
978-1-4244-4523-3
Electronic_ISBN :
0743-1619
Type :
conf
DOI :
10.1109/ACC.2009.5159926
Filename :
5159926
Link To Document :
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