期刊
AUTOMATICA
卷 50, 期 12, 页码 3304-3309出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.automatica.2014.10.062
关键词
Model reduction; Gramians; Frequency weighted; Balanced truncation; Error bounds
A new frequency weighted technique for balanced model reduction is proposed. The proposed technique not only provides stable reduced order models for the case when both input and output weightings are included but also yields frequency response error bounds. The method is illustrated using numerical examples and the results are compared with other frequency weighted model reduction techniques. (C) 2014 Elsevier Ltd. All rights reserved.
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