Model reduction via frequency weighting approach

Author

Song, Jin Woo ; Lee, Jang Gyu ; Kang, Taesam ; Sung, Sang Kyung

Author_Institution

Sch. of Electr. Eng., Seoul Nat. Univ., South Korea

fYear

2001

fDate

2001

Firstpage

158

Lastpage

163

Abstract

Frequency weighted Gramians and a state weighted model reduction algorithm are proposed. The frequency weighted Gramians are defined in the frequency domain which have frequency weighting factors to accentuate the input-output behavior of the interested states in some frequency range. The algorithm is basically based on a state weighting technique due to frequency weighted Gramians differently from other algorithms that weights inputs or outputs. The concerned state has more influence on the reduced system in the range of the frequency weighted, resulting in small model reduction errors with little sacrifice in performance

Keywords

controllability; observability; reduced order systems; transfer function matrices; balanced structure; controllability; frequency weighted Gramians algorithm; frequency weighting approach; model reduction; observability; reduced order systems; state weighted model reduction algorithm; Automatic frequency control; Control systems; Frequency domain analysis; Observability; Reduced order systems; Stability; Upper bound; Weight control;

fLanguage

English

Publisher

ieee

Conference_Titel

SICE 2001. Proceedings of the 40th SICE Annual Conference. International Session Papers

Conference_Location

Nagoya

Print_ISBN

0-7803-7306-5

Type

conf

DOI

10.1109/SICE.2001.977825

Filename

977825