A Revised Minimum Information Loss Method for Discrete-time Model Reduction

Author

Cao, Qing ; Zhang, Hui ; Sun, Youxian

Author_Institution

Dept. of Control Sci. & Eng., Univ. of Zhejiang, Hangzhou

Volume

1

fYear

0

fDate

0-0 0

Firstpage

1456

Lastpage

1460

Abstract

The minimum information loss (MIL) method for model reduction didn´t generate unique result. So the revised minimum information loss (RMIL) method was proposed to solve this problem. By restricting the system model to be the output-normal model and transforming the observability grammian to be an identity matrix, the present RMIL method causes the total information loss to be minimized and preserves the reduced-order model to be unique. Examples are given to illustrate the approximating performance of the reduced-order model derived by RMIL

Keywords

discrete time systems; reduced order systems; discrete-time model reduction; identity matrix; observability grammians; reduced-order model; revised minimum information loss; state information; Control system synthesis; Controllability; Covariance matrix; Design engineering; Observability; Reduced order systems; Research and development; Sun; System analysis and design; Systems engineering and theory; controllability and observability grammians; discrete-time model reduction; minimum information loss; state information;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1712590

Filename

1712590